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of the research group. Your profile: PhD in plant biochemistry, molecular biology or systems biology (Preferably) strong background in specialized metabolism and biosynthetic pathway elucidation Co-supervising
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences, and the humanities. The successful
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key periods for simulations with the higher resolution EC-Earth model Requirements: We require a PhD in a relevant subject area such as climate physics, paleoclimate, oceanography, mathematics
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Brandenburg), salary group E 13. The full-time position for the Postdoc has a weekly working time of 40 hours (100%). It can also be filled on a part-time basis. If the position is filled as a PhD position, you
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have an excellent PhD in one of these areas or related fields (in applied mathematics, computer science, or a related discipline.) The candidate should have an excellent publication record commensurate
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. Your profile You hold a PhD in computer science, biomedical engineering, applied mathematics, medical physics, or a related field. You have a proven track record of publications in top-tier journals (e.g
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for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering
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apply for stays in Europe. Travel grants are awarded for up to 3 months and encompass a contribution which may cover the expenses for travel, lodging, and course fees. Target Group PhD students or medical
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or others). Aim for apply for funding sources (DGF, BMBF, Bavarian and TUM funding) to strengthen your carrier. 2-years full-time, with option to extend (max 4y). Requirements A PhD or equivalent and a solid
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research, teaching and knowledge transfer to society on artificial intelligence, machine learning, data-centered engineering and related data and knowledge-based technologies, with special dedication