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Postdoctoral Research Fellow at the Australian Institute for Bioengineering and Nanotechnology

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  The University of Queensland's Australian Institute for Bioengineering and Nanotechnology (AIBN) is a dynamic multi-disciplinary research institute dedicated to developing technology to alleviate societal problems in the areas of health, energy, manufacturing and environmental sustainability. AIBN brings together the skills of more than 450 world-class researchers complimented by an extensive suite of integrated facilities, working at the intersection of biology, chemistry, engineering and computer modelling. With a reputation for delivering translational science, AIBN conducts research at the forefront of emerging technologies, and has developed strong collaborations with leading members of industry, academia and government. AIBN goes beyond basic research to develop the growth of innovative industries for the benefit of the Queensland and Australian economies. About This Opportunity As Postdoctoral Research Fellow, you will conduct research as a part of the ARC Laureate fellows

PhD student position in Development of novel catalysts for green chemical production

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  In this project the main objective is to reduce the CO2 footprint of important specialty chemicals. This will be done by developing innovative catalysts for efficient processes as well as using green feedstocks. This position will enable combining detailed catalysis research with a close collaboration with industry. Project description This position is at the  Chemical Engineering division  of  Chemistry and Chemical Engineering department  at Chalmers. We have a wide range of experience and work both experimentally and with modeling. We have a long tradition of working with both fundamental scientific questions and applied problems together with industry. This position is within the unit for Chemical Process and Reaction Engineering. In addition, the position will be included in the Centre for Chemical Process Engineering (CPE) and Competence Centre for Catalysis (KCK). This project is conducted together with Perstorp, which is a leading company for specialty chemicals. A close coll

PhD student position in Deep Learning for Predicting Poverty from Satellite Images

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  The Data Science and AI division at the Department of Computer Science and Engineering is recruiting a PhD student for a project in Observatory of Poverty, within the research project Observatory of Poverty, funded by the Swedish Research Council (SRC). Information about the research and the project About 900 million people — one-third in Africa — live in extreme poverty. Operating on the assumption that life in impoverished communities is fundamentally so different that it can trap people in cycles of deprivation (‘poverty traps’), major development agencies have deployed a stream of development projects to break these cycles (‘poverty targeting’). However, scholars are currently unable to answer questions such as in what capacity do poverty traps exist; to what extent do these interventions release communities from such traps — as they are held back by a data challenges. There is a lack of geo-temporal poverty data; this project will develop new methods to produce such data. Conseq

PostDoc position in synthetic organic chemistry

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  Andréasson research group  at the  Division of Chemistry and Biochemistry  now invites applications for a PostDoc position (2-year position) in the field of synthetic organic chemistry. The main research objectives for the PostDoc will be to synthesize novel molecular probes for fluorescence microscopy. The daily work will be performed at Chalmers University of Technology, in close collaboration with the Department of Chemistry & Molecular Biology at University of Gothenburg, conveniently located in the same building. Depending on the qualifications of the successful candidate, functional characterization/validation of the synthesized compounds using UV-vis/fluorescence spectroscopy and fluorescence microscopy may be included in the work. The division and the research group The secret life of molecules is the main theme of our research and teaching at the Division of Chemistry and Biochemistry. We are studying how small and large molecules can be produced, their interaction with

PostDoc position in UV/vis- and fluorescence spectroscopy/microscopy

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  Andréasson research group  at the  Division of Chemistry and Biochemistry  now invites applications for a PostDoc position (2-year position, full time research scholarship) in the field of UV/vis- and fluorescence spectroscopy/microscopy. The main research objectives for the PostDoc will be the functional characterization/validation of novel photochromic compounds using UV-vis/fluorescence spectroscopy and multiphoton microscopy. The daily work will be performed at Chalmers University of Technology, in close collaboration with the Department of Chemistry & Molecular Biology at University of Gothenburg, conveniently located in the same building. The division and the research group The secret life of molecules is the main theme of our research and teaching at the Division of Chemistry and Biochemistry. We are studying how small and large molecules can be produced, their interaction with one another in material or in living cells, and how they can capture and convert energy. The pro

Postdoctoral position in hybrid organic-inorganic perovskites for lighting

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  Do you want to perform basic research on materials for next-generation energy technologies, using the latest methods at international large-scale photon and neutron sources, and develop further into a skilled researcher with attractive career opportunities? Then you should apply for this exciting postdoc position. Project description Hybrid organic-inorganic perovskites (HOIPs) exhibit light absorbing and emitting properties, due to electronic excitations, and have attracted enormous attention in the last decade, mostly due to their easy fabrication and huge promise for use in solar cells and light emitting diodes. However, a low stability towards heat and moisture are a big hindrance for using these materials in practical devices. The search for more robust HOIPs has recently shifted the focus to lower dimensional systems, but the underlying mechanisms of the electronic excitations remain unclear. The aim of this postdoc project is to provide crucial contributions to this important

Postdoctoral fellow in the field of remote sensing, land use and scenario building

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  The Postdoc-position is placed at the  Division of Environmental Systems Analysis  (ESA) which conducts research in the field of innovation and sustainability studies and assessment of environmental impact of technologies. The division has around 35 staff members with diverse expertise, including engineering, natural and social scientists. The time of the postdoc position (approx 1,5 years) will be shared between a specific research project (2/3 of the time) and contributing to the buildup of remote sensing and GIS-applications skills at the division (1/3 of the time). The research project is based on work within a multi- and transdisciplinary research group that over the past decade has worked together in related projects in Burkina Faso. The aim of the current project is to i) quantify net primary production (NPP) assets of three key land components; crops, trees and grasses ii) develop a system to scale up NPP monitoring to the national level using freely available high-resolution

Postdoc in Gender, Energy and Policy

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  We are recruiting a two-year postdoc in the area of policy for inclusive and sustainable energy use. The work is positioned within the broad theoretical fields of social science energy studies, gender and energy, and sustainable energy transitions. The candidate will evaluate existing policy frameworks, propose new data collection instruments and provide recommendations for policy. Information about the research and the division The position is funded by the Swedish Energy Agency and part of a Task within the International Energy Agency's Technology Collaboration Programme on Energy users. For more information about this Task, see  here . You will be part of the Chalmers' team that is leading the Task, and contribute to primarily two subtasks of the overall collaboration. First, undertaking comparative institutional and policy analysis in Sweden and other countries that are part of the task, and second, methodological development with a focus on household survey design and im

Evaluation of ictal electro-clinical findings using standardised feature extraction and machine learning

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  Background: Semiology and EEG provide important electro-clinical information about epileptic seizures. However, in clinical practice these aspects are reported in free-text, which hinders further analysis of large datasets. Objective: to evaluate the clinical significance of the electro-clinical findings extracted using a standardised system, and then analyzed using a machine learning approach. Methods: Electoclinical features, comprising seizure semiology and ictal EEG will be retrospectively extracted form a large anonymised database. The features will be extracted and stored using the SCORE system. Gold standard will be extracted from long-term (>1 year) follow-up. Correlation with the focus localization, prognosis and therapeutic outcome will me analyzed using a machine learning approach. Expected results: This systematic approach will alow us to provide clinicians with evidence-based information on the diagnostic value of the ictal electro-clinical features. This will improve

PhD Student or Postdoctoral Researcher (gn) in Bioinformatics and Machine Learning

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  The Institute of Reproductive Genetics and the Institute of Medical Informatics of the University of Münster are offering a position in a joint project (Groups of Prof. Frank Tüttelmann and Prof. Julian Varghese), initially limited to 3 years, starting as soon as possible PhD Student or Postdoctoral Researcher (gn*) in Bioinformatics and Machine Learning Ref.: 05935 Full-Time Salary according to TV-L E13 (*gn=gender neutral) The project entitled “Bioinformatics and Machine Learning” focuses on the identification of epi-/genetic changes associated with male infertility. The basis are a wealth of large scale datasets that require novel analytical approaches comprising advanced skills in data analyses and Artificial Intelligence. Another asset is the “Male Fertility Gene Atlas” ( https://mfga.uni-muenster.de ) that will be further developed. The project will be conducted in a strong translational setting, in which clinicians, scientists and bioinformaticians are working closely together