186 parallel-computing-numerical-methods-"Prof" positions at Technical University of Munich in Germany
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23.09.2024, Wissenschaftliches Personal The research group of Prof. Marc Schmidt-Supprian at the Institute of Experimental Hematology at the Technical University Munich is seeking a highly motivated
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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Bitte senden Sie Ihr Motivationsschreiben, Ihren Lebenslauf und Ihr(e) Zeugnis(se) an Prof. Florian Matthes (matthes@tum.de). Wir freuen uns auf Ihre Bewerbung! Wichtige Hinweise Schwerbehinderte Menschen
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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cells or electrolyzers. Utilizing innovative, automated characterization techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus
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cooperation with Kopter Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called
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integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline
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protection information of TUM. Kontakt: Prof. Dr. Patrick Bienert patrick.bienert@tum.de Tel. +49 8161 71 3961
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methods to tackle challenges in scientific modeling. Affiliations: Technical University of Munich (TUM) & Helmholtz Munich Niki Kilbertus invites applications for a fully funded PhD position. We’re looking
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational