90 parallel-computing-numerical-methods Postdoctoral positions in computer-science in Sweden
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- Chalmers University of Technology
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the ability to implement and validate models using empirical or synthetic mobility data. Experience with quantitative modelling, simulation, data analysis or computational methods. Very good ability to write
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. Methodological breadth: Strong competence in research methods relevant to the proposed project. Experience across more than one methodological tradition, or clear evidence of methodological versatility and the
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for a creative and highly motivated researcher with a PhD in plant biology, molecular biology, cell biology, genetics, genomics or a related field. Prior experiences with molecular biology methods, cell
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mechanical modelling, such as finite element analysis (FEA). experience of working with healthcare professionals and patients. strong knowledge of statistical methods, including non-parametric methods
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stability, reduced leakage risks, and improved energy density. This project focuses on developing efficient materials and synthesis methods that can improve ionic conductivity, battery safety, cycle life, and
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, optimization, analysis and/or control of renewable energy technologies and energy storage technologies in buildings; AI methods applied to building or energy systems; District heating systems. In an overall
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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involves automation. The Postdoctoral researcher will join the research team in InAFQual, a project funded by the Interreg Aurora, a funding programme in the European Interreg community for cross-border
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5 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Communication engineering Engineering » Electrical engineering
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formulations. All this research requires advanced characterization methods to study interaction, structure and beahaviour. The research group has well-established collaboration with the large-scale facilities