242 computer-science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in Denmark
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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Are you passionate about data science and eager to apply your skills to cutting-edge biomedical research? We are looking for a highly motivated and independent scientist to join our dynamic research
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students. We therefore seek candidates with an open, constructive, and collaborative approach The Department of Biology The Department of Biology (http://bio.au.dk/ ) provides a framework for research and
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, physics & astronomy, chemistry, geology, mathematics, computer science, and molecular biology & genetics), a graduate school, and several research centres. In addition, we host interdisciplinary networks
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Graduate School at Arts
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7 Aug 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Compute Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1
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a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering, or a related
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supervisor is Prof. Serafim Bakalis, Department of Food Science, E-mail: [email protected] , Direct Phone: +45 93 56 56 81. Qualifications needed To be eligible for the regular PhD programme, you must have
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computational biology. In this regard they must have demonstrable expertise with bioinformatics, evolutionary genomics, analysis of NGS based datasets, use of high-performance computing and preferably a keen