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Area of research: Scientific / postdoctoral posts Job description: Machine Learning Engineer in Health Research (f/m/x) 102641 Full time 39 hrs./week Neuherberg near Munich Home Office Options
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Description The Soft Matter Physics Group at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics, Machine Learning and advanced X-ray and neutron scattering (m
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
implemented at Helmholtz Munich, is to enable the transfer of Artificial Intelligence (AI) into practice. Since its inception, the AI consultant team has been providing Machine Learning (ML) expertise to Health
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The Fraunhofer-Institute for Electron Beam and Plasma Technology FEP works on innovative solutions for vacuum coating and the treatment of surfaces, liquids and gases. The Stationary Precision Coating working group in the field of plasma technology deals with the development of plasma-based...
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13.03.2025 Application deadline: 30.06.2025 The Soft Matter Physics Group at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics, Machine Learning and advanced
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19.11.2024, Wissenschaftliches Personal A PhD position (E13) in the fields of machine learning and game theory is available at the Department of Computer Science at TUM at the Chair of Decision
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lead to emergent group behaviors, we develop modern tools such as tracking systems, biomimetic robots and interpretable machine learning models. In a new research project with our partner Bayer Crop
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Your Job: You will support IAS-9`s data science and machine learning activities, working in a multidisciplinary team of enthusiastic data scientists, software developers, and domain scientists. Your
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells