61 parallel-computing-numerical-methods-"Prof" uni jobs at Technical University of Munich
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very good Master’s degree in Computer Science, Medical Informatics, Business Informatics or a related field. Practical experience as a full-stack developer for cloud-native and/or on-premise applications
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collaboration patterns into their existing workflows and tools? Working alongside Prof. Chunyang Chen and Ludwig Felder, M.Sc., the successful candidate will develop and apply new methods at the intersection
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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will work on key research projects applying computer science methods within the context described above. The Professorship of Energy Management Technologies closely collaborates with other professorships
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on the Part Scale. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational
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document by Email to esm-jobs.asg@ed.tum.de until June 30, 2025. The size of the file should not exceed 15 MB. For further information or to discuss the position please contact Prof. Dr. Niklas Boers
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will work on key research projects applying computer science methods within the context described above. The Professorship of Energy Management Technologies closely collaborates with other professorships
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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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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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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