Showing posts with label Training. Show all posts
Showing posts with label Training. Show all posts

Tuesday, June 22, 2021

Master thesis/Intership: Tuning aggregation of red blood cells and the shear induced break up

 


Advertising division: IBI-4 - Biomacromolecular Systems and Processes
Reference number: 2021M-061, (bio)physics, (bio)chemistry, biology and biotechnology

Master thesis/Intership: Tuning aggregation of red blood cells and the shear induced break up

Red Blood Cells (RBCs) are the most abundant type of cells found in the blood. The major role of the cells involve transporting oxygen and carbon dioxide to and from tissues to lungs, respectively. In addition, they perform several important secondary functions. One of them includes aggregation in the presence of glycoprotein like fibrinogen resulting in blood clot and wound healing. The aggregation phenomenon of RBCs can significantly affect the blood flow and circulation. The normal blood flow is sufficient to prevent formation of aggregates. However, in low shear rates the aggregation of RBCs may occur into cylindrical shaped assembly called rouleaux. There are two proposed explanations for the mechanism of the RBC aggregation: bridging and depletion. In bridging, RBCs aggregate when the bridging forces, due to the adsorption of macromolecules onto adjacent cell surfaces. In depletion, the force between cells is due to osmotic pressure gradient between the lower polymer concentration area in depletion layer and a higher polymer concentration in bulk drives the cells together.

Some pathological factors may enhance aggregation One such factor is viral pathogenesis, which can affect RBCs function in several ways. Studies reported that the SARS-CoV-2 virus altered the membrane structure of RBCs, perhaps by altering its deformability resulting in cells poorly responding to environmental changes in hemoglobin oxygen saturation/oxidant stress. In other set of studies, thrombosis due to viral infections have been reported.

In this project, we are interested in investigating the aggregation phenomenon of RBCs in presence of different type of viruses. We have already shown how filamentous bacteriophage fd-virus, that infects bacteria E. coli, can induce aggregation of RBCs via depletion. We are keen to comprehend how viruses that naturally circulate in human blood flow, such as Adenovirus (Type 5), Rhinovirus (Type 3) and Human Coronavirus OC43, affect RBCs aggregation. To study the RBC aggregates, shape and deformation of cells, we combine ultra-fast confocal microscopy with a home-built shear cell that is used to break up the aggregates. Image analysis is performed to extract relevant information on interaction and deformation energies using Python scripts.

The goal of this project is to translate information from image analysis into extractable physical parameters while tuning the interaction to comprehend the aggregation of RBCs in presence of viruses. We are looking for a master student who is interested in the field of bio/soft matter and doing their master studies in (bio)physics, (bio)chemistry, biology and biotechnology. You will be engaged in data acquisition, image processing and/or interpretation of the results, depending on your background. The research activities will primarily be performed at the Forschungszentrum Jülich in collaboration between the Institute of Biomacromolecular Systems and Processes (IBI-4) and Institute of Structural Biochemistry (IBI-7). The experiments will be done in IBI-7 institute in bio-labs with biosafety level 2.

If you are interested please send your documents (CV, certificates or current grades) by
e-mail to
Mehrnaz Babaki (m.babaki@fz-juelich.de)

Forschungszentrum Jülich
Institute of Biological Information Processing
Biomacromolecular Systems and Processes (IBI-4)

Internship: Demand response potentials of energy-intensive processes

 


Advertising division: IEK-10 - Energy Systems Engineering
Reference number: 2021M-063, Energy- or Process Systems Engineering, Mechanical Engineering, Computational Engineering Sciences, Simulation Sciences

Internship: Demand response potentials of energy-intensive processes

Background
IEK-10 focuses on the optimal design and operation of integrated, decentralized energy systems with a high share of renewable energy. Computer simulation and numerical optimization are our essential tools to arrive at efficient, reliable, and cost-effective solutions. We contribute both to the development of mathematical models and to the development of improved optimization algorithms, tailored to specific problems related to energy systems. Our methods and software-tools are validated against operating data of real systems. Furthermore, we conduct comprehensive case studies to test and further improve the scalability and the performance of our models and algorithms.

Context and Assignment
An increased share of renewable electricity production challenges the grid with its volatility and causes imbalances of electricity supply and demand. This imbalance leads to time-varying electricity prices on electricity markets. Thus, if flexible power-intensive processes shift their demand to times of higher renewable electricity production they can stabilize the grid as well as profit economically. Similarly, flexible energy-intensive processes consuming thermal energy can shift their production in cooperation with a local multi-energy supply system. This demand response (DR) can reduce electricity procurement cost typically by overproduction during low-priced times and underproduction during high-priced hours. To perform DR optimally, consumers can optimize their energy demand with a model containing the scheduling-relevant process characteristics, such as ramping limits, utilization rates, or nonlinear dynamics. The IEK-10 develops optimization problem formulations tailored to DR that allow to optimize complex process models sufficiently fast enough for real-time application.

In this internship, different energy-intensive processes will be assessed and suitable dynamic models are collected from literature. A diverse set of scheduling-relevant process characteristics will be examined. Based on the examination, the demand response potential should be estimated. One or more of the especially promising processes should be implemented and optimized.

Your profile

  • You are a bachelor/master student with very good background in Energy- or Process Systems Engineering, Mechanical Engineering, Computational Engineering Sciences, Simulation Sciences, or similar
  • Experience in optimization methods
  • Programming experience (preferably in Python)
  • Ability to work independently
  • Good English skills (spoken and written)
  • Interest in energy systems and scheduling optimization

Our offer

  • 3 months internship (time span can be adapted)
  • Deep insight into demand response and demand side management
  • Broad insight into energy systems / energy-intensive processes
  • A friendly and welcoming work environment
  • Highly motivated scientists of different subject areas working together

Due to the SARS-CoV-2 regulations, work is currently done in the home office. We are committed to equality and diversity and welcome applications from everyone! If you are interested, please send us your complete application.

Contact:
Sonja Germscheid
Forschungszentrum Jülich GmbH
Institute of Energy and Climate Research
Energy Systems Engineering (IEK-10)
52425 Jülich
Email: s.germscheid@fz-juelich.de

Thursday, May 6, 2021

Call for 3-5 trainees/research assistants – FitOptiVis project

 


The University of Turku is a world-class multidisciplinary research university which offers interesting challenges and a unique vantage point to national and international research and education.

Call for 3-5 trainees/research assistants – FitOptiVis project

Department of Computing, Summer 2021


Job description
*****************

FitOptiVis project has three to five (3-5) open trainee/research assistant positions as part of ongoing research cyber-physical systems and highly efficient image and video processing systems. Particularly, two trainees will participate in research on modelling our IP blocks using the common modelling language (QRML) developed within the EU wide project, two will focus on AI techniques applied to sensor data, and one will build a visualization for our IC measurement system. For all jobs, basic programming skills are needed. For the modelling tasks knowledge of well-known modelling languages (like UML) is an asset. For AI tasks knowledge on machine learning methods and/or sensor fusion are assets. The visualization task would benefit from experience in handling measurement data and visualization of graphs.

As a summer trainee/research assistant, you will be working under the guidance of the group members. The position and exact work duties will be tailored according to the background and interests of the applicant, as well as the needs of the project during the summertime.

Duration: 3 months
Suggested time period: 1.6.—30.9.2021
Note: the starting date and duration can be adjusted to meet the preferences of the applicant. The duration of the positions may possibly continue longer.

 Who can apply to the positions?
************************************

Those who want to learn about computing algorithms used in computer vision, cryptography or modelling of such systems and monitoring their performance. Since most of the hardware implementation has already been done by the project team, the jobs are suitable also for less experienced persons who are willing to learn and look for solutions to problems from new perspectives. Therefore, basic skills in programming and AI are sufficient for these tasks – an innovative mind is the most important asset. Good working knowledge of English is required, as all of the documentation is in English.

All students at the University of Turku and other universities can apply for these positions.

 

Details on the open positions
*********************************

(1)   Modelling Internships (1-2 positions)

The task is to develop a models of our IP blocks using QRML language. The language has been developed in the project by our European partners, and now it will be applied to model our hardware blocks. Examples of the language, as well as support will be available. Blocks include convolutional accelerators, cryptography cores and low power management blocks (DVFS). If time permits, the modelling will be extended to cover a full system, possibly integrating results from the other trainees. Please contact Tero Säntti (teansa@utu.fi) for more information.

Deliverables: Models of the blocks, reports on the properties of the language, if any room for improvement is found.

(2)   AI and sensor fusion Internships (1-2 positions)

The work concerns AI on sensor fusion data. In practice, various types of sensor data (accelerometer, biopotentials, etc.) will measured and sensor accuracy improvement will be investigated by applying AI algorithm to the data. The student should be familiar with implementing AI algorithms (PyTorch, TensorFlow), simple electronic measurement techniques, and programming in Python. Courses such as DTEK8086 Sensors and Interfaces and DTEK0065 Programming Lab Course (or equivalent skills) should be completed. Please contact Tero Säntti (teansa@utu.fi) and Lauri Koskinen (lauri.koskinen@utu.fi) for more information.

Deliverables: AI prototype implementation, suggestions and recommendations for improvement of the prototype.

 

(3)   Visualization Internship (1 position)

The task is to visualize the dataflows from our IC measurement system, and include control functions. Visualizations will be implemented using FIVIS, a visualization tool developed by our European partners. Reference design is available, using LabView as the platform. If time permits, the visualization will be extended to cover items from AI and sensor fusion team, and possibly even to the satellite instrument prototypes developed in FORESAIL project. Please contact Tero Säntti (teansa@utu.fi) for more information.

Deliverables: Visualization framework for the IC measurement system. Reports on the properties of the FIVIS framework, if any room for improvement is found.

Salary and how to apply
****************************

All students at the University of Turku and other universities can apply for these positions.

Salary for a trainee is 1300 euros/month and for a research assistant 2000 euros/month.

Applications must be submitted at the latest on Monday 24.5.2021 (23:59) using the electronic application form of the University of Turku on the following address:
www.utu.fi/careers

The link to the application system is at the beginning of this announcement (“Apply for the job”).

Please include with your application a Curriculum Vitae, study transcript and motivation letter.

Please contact Tero Säntti (teansa@utu.fi) for more information.

Sunday, April 25, 2021

Apprentices as system integration IT specialist

 

Reference No.: IT 2021/3

Client/Server-architectures, networks in companies and communication around the world are standard now. However, the "devil is in the detail" sometimes. So that with IT infrastructure functions, components must be planned carefully and be installed – PCs, servers, network components, software, periphery devices etc.

Would you like it to help in such projects or to support the users with the use of these devices and all this in a scientific research environment?

Pleasure in dealing with computers and people belongs to the most important requirement to be successful in this occupation. Furthermore one should have good basic knowledge of science, logical reasoning power and a good knowledge of English. Technical detailed knowledge must be also transmitted to layman; therefore, the system integration IT specialist (f/m/d) should be sociable and communicative and have interest in the planning, realizing and operating of IT systems.

Overview of the apprenticeships:

Apprenticeships begin yearly on the 1st of September and last 3 years. All together two apprenticeship places per year are available at HZB.

Here a small selection of the knowledge and skills imparted to you during your apprenticeship:

  • Conceiving and realizing complicated IT systems
  • Installation and configuring linked up IT systems
  • Data processing
  • Realisation and control of projects
  • Removal of disturbances in client systems
  • Administration of IT-Serversystems
  • Consulting and training users
  • Presentation of system solution


There is the possibility of additional qualifications, e.g. Cisco or Linux certificates and the completion of an internship abroad.

Requirements:

  • Intermediate or upper secondary school leaving certificate
  • Good grades in English, Mathematics and Physics
  • High degree of willingness to learn
  • Self-responsibility


The apprenticeship pay is based on the Collective Agreement for Apprentices for the Public Service (TVAöD).

We particularly welcome applications from women. Preference will be given to handicapped applicants provided equal suitability.

How to apply

We look forward to receiving your application via our application management system by 06.05.2021. For reasons of data protection regulations, we are unfortunately unable to consider applications that reach us by email or by mail in the application process.

For German version, please click on the following link: German Version.


Tuesday, April 20, 2021

Internship: Methods and Tools for Multi Energy System Simulation

 

Advertising division: IEK-10 - Energy Systems Engineering
Reference number: 2021M-022, Mathematics, Physics, Electrical Engineering

Internship: Methods and Tools for Multi Energy System Simulation

IEK-10 focuses on the optimal design and operation of integrated, decentralized energy systems with a high share of renewable energy. Computer simulation and numerical optimization are our essential tools to arrive at efficient, reliable and cost-effective solutions. We contribute both to the development of mathematical models and to the development of improved simulation methods and optimization algorithms. Our methods and software-tools are validated against operating data of real systems. Furthermore, we conduct comprehensive case studies in order to test and further improve the scalability and the performance of our models and algorithms. Specially adapted methods and codes enable us to exploit the potential of high performance computing with the aim of solving particularly large and complex problems.

Scope of the Internship:
Due to the increase of renewable energy share in the electrical network, the decarbonization focus has also been extended to other energy sectors. Sector coupling refers to the concept of interconnecting different energy sectors with the power sector, which can offer flexibility to the power sector and contribute to the decarbonization progress in other sectors. Therefore, new and efficient simulation methods and tools are needed in order to illustrate interactions between different energy sectors. Your goal will be the development and combination of modeling and simulation methods.

Your Profile:

  • You are a student with very good background in Mathematics, Physics, Electrical Engineering or a comparable subject
  • Interests in numerical methods and analysis, and energy system modeling and simulation
  • Basic understanding of energy system modeling and simulation is preferable
  • Good knowledge of and some experience in a programming language, preferably C++ or Python
  • Fluent in English (spoken and written)

Our Profile:

  • Highly motivated scientists of different subject areas working together
  • Interdisciplinary work combining physics, mathematics, computer science, and engineering
  • Intensive supervision by one or more experienced and helpful colleague(s)
  • Friendly and welcoming work environment

There is a salary and, due to the SARS-CoV-2 regulations, work is done in the home office. All necessary equipment (computers etc.) is provided. We are committed to equality and diversity and welcome applications from everyone! If you are interested, please send us your complete application.

Contact:
Yifei Lu
Forschungszentrum Jülich GmbH
Institut für Energie- und Klimaforschung – Modellierung von Energiesystemen (IEK-10)
52425 Jülich

E-Mail: yi.lu@fz-juelich.de
More Information about our institute: https://www.fz-juelich.de/iek/iek-10/


Friday, April 16, 2021

TRAINEE FOR THE FAC­ULTY OF EDU­CA­TIONAL SCIENCES

 

The University of Helsinki is one of the leading universities in the world. By working at the University of Helsinki you can contribute to science, teaching, learning and society.

The University of Helsinki is a responsible employer and offers a variety of beneftis to its staff. It constitutes an international academic community of 40,000 members, with 32,000 degree students and 60,000 mature students enrolled annually.

University of Helsinki offers a Trainee Programme for our international master students. You are eligible to apply if you are an international student enrolled in a University of Helsinki master programme.

We are now looking for a TRAINEE for the Faculty of Educational Sciences.

The trainee will work for the Master`s Programme in Changing Education and for the Subject Teacher Education Programme (STEP).

Your tasks as a trainee will include for example: support orientation of new students, support development of coordinated feedback mechanisms, note taking and reporting support to working groups, small teaching assistant duties, production of different types of content (for example preparing different materials for events) and assisting tasks for different events.

We offer an opportunity to improve coordination and quality of the two study programmes as a member of an enthusiastic team of administrators and academics.

We expect you to have excellent oral and written communication skills, the ability to take initiative and to work collaboratively with the programme teams. Enthusiasm to improve practice at programme level is your main motivator.

The duration of a traineeship is 1 September to 31 December 2021 (four months) of part-time (50%) work, leaving time for studies as well. The salary of a trainee is €700 per month for a part-time (50%) trainee.

The application period is from 6 to 25 April 2021.

For more details about the position, please contact: Anne Rönkä (tel. +358503118009) or Christa Koski (tel +358 504485799).

Please submit your application through the University’s recruitment system by clicking on the Apply link. Please note that each trainee position has a separate Apply link. You will be asked to register into the system before you get to apply. Please use any other than your helsinki.fi account to register. You will receive a message from the recruitment system once your application has been registered. In need of assistance, please contact: recruitment@helsinki.fi.

Read more what the programme offers for your support on the programme website:
https://www.helsinki.fi/en/about-us/careers/open-positions/university-he...

Due date

25.04.2021 23:59 EEST



TRAINEE (LANGUAGE CENTRE)

 

The University of Helsinki is one of the leading universities in the world. By working at the University of Helsinki you can contribute to science, teaching, learning and society. The University of Helsinki is a responsible employer and offers a variety of benefits to its staff. It constitutes an international academic community of 40´000 members, with 32´000 degree students and 60´000 mature students enrolled annually. University of Helsinki offers a Trainee Program for our international master students. You are eligible to apply if you are an international student enrolled in a University of Helsinki master program.

We are now looking for a

TRAINEE at the University of Helsinki Language Centre.

Your main tasks as a trainee are to assist in organizing different language learning and culture-related activities with and for international students. Activities include e.g. language clubs, workshops and the Course Assistant Program. You will be part of the Support for Learning and Teaching Unit and with a special focus on internationalization and guidance. You will assist the team in managing the communication and collaboration surrounding the ongoing projects. Among the projects connected with the Course Assistant Program is a collaboration with Finnish high schools. The traineeship also includes updating the University of Helsinki Language Centre website, intranet and social media. You will have the possibility to produce content for the Language Centre, for example by making instruction videos for the Course Assistant Program. In addition, the trainee assists in organizing and carrying out internal seminars and training sessions.

We expect you to have excellent skills in spoken and written English. You possess an active way of working and good presentation and teamwork skills and an interest in language and communication learning. You are an advanced user of Microsoft Office tools. Other language skills, as well as pedagogical and administrative experience, are an asset.

We offer you an international, multicultural and innovative working environment that is always in development. You will have supportive colleagues and a chance to develop yourself and share your insights about diverse pedagogical issues.

The duration of a traineeship is 1 September to 31 December 2021 (four months) of part-time (50%) work, leaving time for studies as well. The salary of a trainee is €700 per month for a part-time (50%) trainee.

The application period is from 6 to 25 April 2021.

For more details about the position, please contact Janne Niinivaara via email: janne.niinivaara(a)helsinki.fi.

Please submit your application through the University’s recruitment system by clicking on the Apply link. Please note that each trainee position has a separate Apply link.

You will be asked to register into the system before you get to apply. Please use any other than your helsinki.fi account to register. You will receive a message from the recruitment system once your application has been registered. In need of assistance, please contact: recruitment@helsinki.fi.

Read more what the program offers for your support on the program website:
https://www.helsinki.fi/en/about-us/careers/open-positions/university-he...

Due date

25.04.2021 23:59 EEST

TRAINEE, BIOD­IVERSITY IN­FORM­AT­ICS, FINNISH MU­SEUM OF NATURAL HIS­TORY

 

The University of Helsinki is one of the leading universities in the world. By working at the University of Helsinki you can contribute to science, teaching, learning and society. The University of Helsinki is a responsible employer and offers a variety of beneftis to its staff. It constitutes an international academic community of 40,000 members, with 32,000 degree students and 60,000 mature students enrolled annually.

University of Helsinki offers a Trainee Programme for our international master students. You are eligible to apply if you are an international student enrolled in a University of Helsinki master programme.

We are now looking for a TRAINEE for Biodiversity Informatics Unit at Finnish Museum of Natural History.

Your main task as a trainee is to participate in the digitization of the national natural history collections of Finnish Museum of Natural history by using different digitizing methods.

We expect you to have experience using Microsoft Excel and handling of the scientific specimens (e.g. pinned insects, herbarium sheets) is considered as an advantage.

Understanding of biodiversity occurrence and collection data helps the candidate to get quickly familiar with the work. The trainee must be fluent in English; no knowledge of Finnish is required.

We offer you an excellent opportunity to see beyond the museum exhibitions and get a deep understanding of the natural history collections, their curation, digitization and what it takes to be able to share the data as open data following FAIR-principles.

Our unit has wide range expertise in ICT development, biodiversity information and digitization of data. This provides the trainee an overview on how Research Infrastructures function.

The duration of a traineeship is from September 1st to December 31st, 2021 (four months) of part-time (50%) work, leaving time for studies as well. The salary of a trainee is €700 per month for a part-time (50%) trainee.

The application period is from 6th to 25th April, 2021.

For more details about the position, please contact: Anne Koivunen, anne.koivunen@helsinki.fi, +358407716739.

Please submit your application through the University’s recruitment system by clicking on the Apply link. Please note that each trainee position has a separate Apply link.

You will be asked to register into the system before you get to apply. Please use any other than your helsinki.fi account to register. You will receive a message from the recruitment system once your application has been registered. In need of assistance, please contact: recruitment@helsinki.fi.

Read more what the programme offers for your support on the programme website: https://www.helsinki.fi/en/about-us/careers/open-positions/university-he...

Due date

25.04.2021 23:59 EEST



TRAINEE, BOT­ANY UNIT OF FINNISH MU­SEUM OF NATURAL HIS­TORY

 


The University of Helsinki is one of the leading universities in the world. By working at the University of Helsinki you can contribute to science, teaching, learning and society. The University of Helsinki is a responsible employer and offers a variety of benefits to its staff. It constitutes an international academic community of 40,000 members, with 32,000 degree students and 60,000 mature students enrolled annually.

University of Helsinki offers a Trainee Programme for our international master students. You are eligible to apply if you are an international student enrolled in a University of Helsinki master programme.

We are now looking for a TRAINEE for the Botany Unit of Finnish Museum of Natural History.

You will mainly assist research groups such as the Plant Adaptation and Conservation (PAC) group. The tasks will include, for example, preparing and conducting ecological experiments with plant material, collecting data, data analysis and writing up results. Additional tasks may include literature surveys and technical duties with herbarium (inc. also lichens, other fungi, and mosses) and living plant collections (seed bank and botanic gardens).

We expect you to have genuine interest in plant ecology, conservation biology and good command of English. We appreciate skills in data analysis (e.g. with R statistical software) interest in research and in working as a research assistant in projects.

In addition to the capabilities described above, we hope that you will adapt well to our open and collaborative work community.

We offer you an international work environment and interesting assignments related to research in the fields of conservation biology, taxonomy and systematic. We support your work with active guidance and naming one mentor for you to introduce you to the work and our culture so that you can get the most out of your traineeship.

The duration of a traineeship is from September 1st to December 31st, 2021, (four months) of part-time (50%) work, leaving time for studies as well. The salary of a trainee is €700 per month for a part-time (50%) trainee.

The application period is from 6th to 25th April, 2021.

For more details about the position, please contact: Marko Hyvärinen, marko.hyvarinen@helsinki.fi.

Please submit your application through the University’s recruitment system by clicking on the Apply link. Please note that each trainee position has a separate Apply link.

You will be asked to register into the system before you get to apply. Please use any other than your helsinki.fi account to register. You will receive a message from the recruitment system once your application has been registered. In need of assistance, please contact: recruitment@helsinki.fi.

Read more what the programme offers for your support on the programme website.

Due date

25.04.2021 23:59 EEST