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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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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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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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near-real-time forecast system for the Baltic Sea Generate high-resolution daily surface salinity maps for the Baltic Sea and validate them with available observational datasets Develop algorithms and
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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by Prof. Mathias O. Senge (Hans Fischer Senior Fellow, TUM and Chair of Organic Chemistry, School of Chemistry, Trinity College Dublin), Prof. Johannes Barth (Molecular Nanoscience and Chemical Physics
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27.11.2023, Wissenschaftliches Personal A scientist/postdoctoral researcher position (100% TVL E13) is available in the group of Prof. Dr. Claus Schwechheimer at the Chair of Plant Systems Biology
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details for 2 references. If you have questions or require more information, please contact Prof. Bienert: Technical University of Munich Crop Physiology Prof. Dr. Patrick Bienert Alte Akademie 12, 85354
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. Please submit your electronic application and documents (cover letter, CV, copies of your transcripts of records) via email to Prof. Dr. Reinhard Heckel (reinhard.heckel@tum.de). For full consideration
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them to apply. Further information: Prof. Dr. med. Christina Zielinski | +49 3641 532 1251 | career@leibniz-hki.de www.zielinskilab.com Applications: Complete applications in English should include a