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About us The newly funded Cluster of Excellence NaviSense for the Sensory Basis, Mechanisms, and Impacts of Animal Navigation is a highly collaborative, interdisciplinary research project hosted
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FAult Detection, Isolation and Fault Tolerant Guidance and ConTrol). REACT is a 3-year collaborative effort to develop autonomous fault management solutions for reentry capsule propulsion systems, funded
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employment. Starting date: 09.04.2026 Job description:PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 987 - 2026/WP 1 Work location: Hamburg Application deadline
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
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-disciplinary research team and gain training in state-of-the-art AI methods such as Bayesian optimization, active learning, and scientific machine learning. The project involves close collaboration with
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well as machine learning techniques, is central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and mechanisms occurring in
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/postgraduate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly
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Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a degree in a natural science
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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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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 9 days ago
and chromatin and advanced imaging analysis. Marie Curie Doctoral Network ‘AGILE’ Looking to work with and learn from world-leading experts in plant cell imaging? The newly funded Marie Curie Doctoral