70 developer-"https:" "https:" "https:" "CNRS " PhD positions at Technical University of Munich
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Universitätsklinikum rechts der Isar der TU München Ismaninger Str. 22, 81675 München http://kornlab.med.tum.de The position is suitable for disabled persons. Disabled applicants will be given preference in case
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: fabian.frick@tum.de More Information https://www.ep.mgt.tum.de/en/pur/team/vacancies/
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this Center: (1) develop a new set of consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods
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. Ledendecker at the HI-ERN in Erlangen. The department specializes in the development of metal-based inorganic catalysts aimed at advancing the global energy transition. Our research focuses on using various
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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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Africa’s livestock sector. This work will involve modelling analyses using methodologies to be developed by the candidate in collaboration with their supervisors. This is one of two positions being hired
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture
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of artificial intelligence, materials science, and sustainable chemistry to develop new approaches for the recovery of rare earth elements. Rare earth elements are essential for modern technologies, including
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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign
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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning