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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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Language Model (LLM) and their use in Model-Driven Engineering (MDE) and software architecture Demonstrated proficiency in MDE, including expertise in modeling, meta-modeling, model transformations, and
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Instructions on how to apply Applications shall be written in English and be compiled into a PDF-file containing: résumé/CV, including a list of publications, a general description of past research and future
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addition, you should meet the following requirements: Hold a PhD degree in biology, ecology, analytical chemistry or equivalent Educational and professional qualifications relating to the scientific area of
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unprecedented medical, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When you have completed the AMBER programme you will
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activities aiming at developing soft skills and at strengthening networks and collaborations in academia and industry. Be part of a strong postdoc community. The Umeå Postdoc Society fosters networking and
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Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With
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Application An employment application must contain the following documents in English or Swedish: Cover letter PhD certificate A complete resumé, including date of the thesis defence, title of the thesis
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interactions and how these interactions influence key cellular functions, including cell proliferation and migration (e.g. Hu et al., Science Advances, 2022; Costa et al., Nature Communications, 2019; Lock et al
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of innovation, entrepreneurship, and strategic management. Generously funded by The Knut & Ragnvi Jacobsson Family Foundation, the position aims to advance research that fosters innovation capacity