60 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Technical University of Munich
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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal
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30.05.2023, Wissenschaftliches Personal Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension to 5 and more years
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain
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: - Quantum computing with qudits, quantum error correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de
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at the newly founded Global Center for Family Enterprise (Prof. Dr. Miriam Bird). Expected starting date is April 2023 or by mutual agreement. The scientific employee (postdoc) will be employed on a 100
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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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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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25.02.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how the complex organism-scale behaviour in the giant slime mould Physarum