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of the Federal Armed Forces Hamburg (HSU/UniBw H), Electrical Engineering, Professorship for Experimental Physics and Material Science (Univ.-Prof. Dr.-Ing. Kip), a position is available from the next possible
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soon as possible Job Reference Number: 36400-2026-001900 One of the EU’s leading machine learning hubs. A team with continuous high-impact publications (e.g., Nature, Science formats. Unique
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chemistry and machine learning approaches to investigate innovative catalytic systems, with a focus on biomass-related areas Optimization of homogeneous and heterogeneous catalytic processes using high
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Organizational unit: Institute for Application Oriented Knowledge Processing Entry date: 07/01/2026 Job Reference Number: 151020-2026-001855 Job Duties: Research and cooperation in Machine learning projects in
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.; formal validation/verification of protocols and implementations; biometric authentication and machine learning for usable security; or OT (operational technology) security Communication and organizational
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machine learning (ML) approaches offer a powerful framework for modeling complex catalytic materials with near ab initio accuracy while enabling simulations at significantly larger spatial and temporal
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or machine learning applied to brain signals would be an advantage. We are seeking a highly motivated, rigorous and inquisitive researcher, ready to commit to a project at the interface between basic and
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new insights into the phenomena observed and enrich the databases required for deep learning methods. The neural networks currently being developed at LISTIC to detect and segment areas of movement in
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Title: Print Services Manager Employee Classification: Print Services Manager Campus: University of North Texas Division: UNT-Univ Brand Strategy & Comm SubDivision-Department: UNT-Univ Brand
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medical-surgical experience, recent teaching, clinical instruction experience, as well as those would be approved to teach UNIV 101: The Student in the University, PCAM 101: Nursing Concepts, Communication