52 parallel-computing-numerical-methods-"Prof" Postdoctoral positions 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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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification
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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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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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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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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic
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of healthcare, science, technology, society, and the environment. Our mission encompasses both theoretical and empirical methods to foster ethical, transparent, and interdisciplinary research, education and
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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