73 professor-computer "https:" "https:" "https:" "https:" positions at Chalmers University of Technology
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combines metabolomics, microbiome science and computational modelling to develop new food intake biomarkers and to understand individual metabolic responses to diet and develop personalized nutrition
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) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in chemical engineering, mechanical engineering, applied mathematics, or a closely related field. Strong background in computational
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Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want
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. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer
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sustainable world. In the division of Computational Mechanics and Materials Engineering we foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. The division
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» Computational chemistry Computer science » Other Researcher Profile Established Researcher (R3) Application Deadline 17 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the
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communication skills in English Experience in the area of antenna systems and their applications in biomedicine/biology Knowledge of computational electromagnetics with practical experiences with electromagnetics
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Architecture » Design Computer science » Other Engineering » Other Language sciences » Linguistics
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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 metabolomics, dietary biomarkers, micronutrient