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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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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 18 hours ago
Degree PhD or (if applicable Dr rer nat) Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1
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staff position within a Research Infrastructure? No Offer Description Work group: Institute of Materials and Process Design Area of research: PHD Thesis Part-Time Suitability: The position is suitable
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software
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We are looking for a PhD candidate to join the AI-Based Materials Science group in the Physics Department at the Technical University of Munich. In this position, you will work at the interface
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Hannover Biomedical Research School, as part of Hannover Medical School (MHH), invites applications for its three PhD programs to commence in October 2026 Our offer HBRS is one of Germany’s leading
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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Bioanalytic and Biospectroscopy, we invite applications for: Four PhD Candidates (m/f/d) PhD Position 1 “Preclinical Models” (65%, Bioimaging Group) Ref. Number: 395_2026 PhD Position 2 “Omics-based analysis