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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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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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via e-mail to jobs(at)dife.de . For further information please do not hesitate to contact: Prof. Dr. Soyoung Park Head of the Department Decision Neuroscience and Nutrition E-Mail: Soyoung.Park
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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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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
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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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, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication
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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