73 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "Dr" "P" scholarships at Technical University of Munich in Germany
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knowledge of the German language besides English. If interested, please send your full application to the email adress provided below. At the Mechanics & High Performance Computing Group, there is an open
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key
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molecular level. To yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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of equal qualifications. https://www.cee.ed.tum.de/ccbe/ Prof. Dr.-Ing. André Borrmann Chair of Computing in Civil and Building Engineering Technical University of Munich Arcisstrasse 21, 80333 München
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. Classical cryptographic techniques face inherent limitations, especially regarding future threats from quantum computers or AI-driven adversarial strategies. Physical layer security offers a promising
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contact details for two letters of recommendation in one PDF document. Please send these under the subject “PhD Learning Soft Matter” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 15.02.2026. She
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Objectives Development of sensitivity framework for coupled sensitivity analysis. Extend the developed framework to support FSI problems, and identify suitable sensitivity computation methods. Identify
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Learning Formal Methods Dynamical Systems Control Theory Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members/prof-dr-ing-matthias-althoff
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: Prof. Dr. Antonella Di Pizio (a.dipizio.leibniz-lsb@tum.de). More information on the working group can be found here: https://www.leibniz-lsb.de/forschung/forschungssektionen/sektion-iii. Please send