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programming experience; apply by sending CV and transcripts to alanwar@tum.de About the Role: Join us to push the state of the art in formal verification and reachability analysis for discrete-space systems
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goals set by the International Maritime Organization. Moreover, AI can simulate and evaluate countless operational scenarios, helping ship operators make informed decisions that balance performance with
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, a writing sample from previous research work (ca. 15 pages), as well as relevant certificates (all academic degrees). The application should be sent no later than the 17th of November 2025 via e-mail
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Mathematics (analysis, numerics, modeling) or in a comparable program with a strong mathematical focus and knowledge in, for example, functional analysis as well as the theory and numerics of PDEs. Strong
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
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/ postdoctoral posts Starting date: 21.11.2025 Contract time limit: 1765580399 Job description:HI-TRON Mainz - Personalized Immunotherapies This research center is part of the Helmholtz Association of German
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polycephalum arises from the interactions of cell nuclei within the gigantic cell. We are looking for a Post-doc (m/f/d) to start at the TUM this summer or fall. Your Task Physarum polycephalum is renowned
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- conducting processors with respect to practical short-depth (NISQ) quantum algorithms Cooperate and actively work with experimental partners developing quantum processors using these technological platforms
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Gottingen, Niedersachsen | Germany | 16 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Part-Time Suitability: The position is suitable for part
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verification problem compared to verifying a neural network with millions of neurons. We will also use the feedback of the safety layer to improve the learning rate by excluding provably unsafe actions during