23 parallel-programming-"Prof" Postdoctoral research jobs at Technical University of Munich
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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
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to contribute to groundbreaking work in our research area. About the Program: We are implementing a program that creates an additional two year postdoctoral position exclusively for female researchers working in
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: Technical University of Munich Chair of Materials Engineering of Additive Manufacturing Univ.-Prof. Dr. Peter Mayr Boltzmannstraße 15, 85748 Garching b. München Tel. +49 89 289 55341 info@mat.mw.tum.de Find
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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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for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
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the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field
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machine and deep learning Programming experience with Python and Pytorch Strong analytical and problem-solving skills Excellent communication & interdisciplinary skills Fluency in English (written and