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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 1 day ago
experimental efforts, the project will uncover new physical mechanisms and lay the foundational principles—both qualitative and quantitative—for the rational design of strongly coupled molecular systems
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findings in peer-reviewed journalsActive contribution to the ongoing scientific work and collaboration efforts of the research group. Your Role/ Requirements: PhD degree in nuclear physics; prior nuclear
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side projects and build networks inside and outside the institute Analyze diverse data sets for multi-omics integration in plant genetics Expand expertise and collaborations beyond plant research Our Lab
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looking for a committed and motivated Postdoctoral Researcher (f/m/div) in the Field of Organic Vegetable Production Reference number 19/2025/4 The position is to be filled as soon as possible and is
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org
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countries. We also host a large data set of > 30,000 terrestrial insect species, based on DNA metabarcoding. Additionally, we have access to accompanying environmental data. These data sets provide a unique
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14.12.2022, Wissenschaftliches Personal The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics
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CW and femtosecond optical spectroscopy methods. Preference will be given to candidates who already have some postdoctoral experience, but applications from recently graduated PhDs with an excellent
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of inflammation remains the role of hypoxia. In this 3-year CRC (DFG)-funded position, we will use novel genetic reporters and transgenic models to specifically address the role of hypoxia during these processes
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning