219 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Technical University of Munich in Germany
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and publications, there is the possibility of international research stays and conference travel. Benefit from a comprehensive training program covering both subject-specific and interdisciplinary
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07.04.2026, Academic staff PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project focuses on developing PINN-based simulations
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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational
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communication with international consortium partners and representation of the project at conferences Your Profile • Completed doctoral degree (Dr. / Ph.D.) in Computer Science, Medical Informatics, Biomedical
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. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing robust, user
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Energiesysteme Prof. Dr. rer. nat. Thomas Hamacher Lichtenbergstraße 4a, 85748 Garching Tel. +49 89 289 52741 thomas.hamacher@tum.de www.epe.ed.tum.de/ens www.tum.de The position is suitable for disabled persons
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for admission to a Ph.D. program at TUM. More infor-mation on a doctorate at TUM can be found on the websites of the TUM Graduate School and of the Graduate Center of Engineering and Design. What we offer Full
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well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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Making (Prof. Dr. Clemens Thielen), located at the TUM Campus Straubing for Biotechnology and Sustainability (TUMCS) and affiliated with the Department of Mathematics. The PhD project investigates how
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in a close international collaboration between TUM, the newly founded Instituto Relva and other leading Brazilian institutions. The successful applicant will work under the supervision of Prof. Dr