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identifying climate-resilient restoration sites in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under
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combination with methods of nonlinear spectroscopy. With its research, MBI fulfills a national mission and is an integral part of the international scientific community. MBI invites applications for PostDoc (m
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) software for topology-informed biomedical image analysis and large foundation models. You will be responsible for Develop new machine learning algorithms for microscopy image analysis problems (2D/3D/4D/5D
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position or post-doctoral position (m/f/d) (Position number: 19-2025 Postdoc PREVENT) in the field of Weather Extremes and Climate Modelling, starting on 01.09.2025. The position is funded for 12 months
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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of Smart Process concepts depending on substrate or feedstock properties. Therefore, we are seeking a highly motivated and future-orientated thinking Postdoc with innovative ideas and visions to control
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their area of interest and will serve as their primary supervisor. The student will become part of the faculty member’s research group, which typically includes master’s students, PhD students, postdocs, and
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are developing algorithms and tools to address these bioimage analysis problems, which are all driven by real biomedical research. Depending on the background and interest, the student will have the opportunity
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-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome and transcriptome data) by using efficient algorithms and
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, informatics, bioinformatics, biology or a similar field and some years of postdoc experience Profound experience with analytical and universal programming languages Evidence for leadership skills Very good