30 Computer Science "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Chalmers University of Technology
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platforms, supporting user studies, and contributing to innovative projects that explore the future of human-centred technology. Information about the division/the project The Department of Computer Science
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of four research divisions at the Department of Life Sciences. Food and Nutrition Science is one of the leading units in the area in Sweden with particular strengths in nutritional and computational
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Research (CGR) Lab , within the Data Science and AI division, Gothenburg, Sweden. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg
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Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research, strong
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particular strengths in nutritional and computational metabolomics, dietary biomarkers, micronutrient metal nutrition, nutritional immunology, marine food science, plant based foods, food biotechnology and
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of Chemistry and Chemical Engineering , with close contact to Martin Rahm's computational group in the same department; a doctoral position on the theory side is announced at the same time, and the two
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9 Jul 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Industrial engineering
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. The position is part of the ShiftLeft project funded by WASP , a flagship project with partner universities at KTH, Linköping, and Umeå. About us The Department of Computer Science and Engineering , a joint
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collaborate with Doctoral students and postdocs working on similar topics! About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python