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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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13 Mar 2026 Job Information Organisation/Company Christian-Albrechts-Universitaet zu Kiel Department Department of Materials Science Research Field Engineering » Materials engineering Researcher
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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: University degree in mechanical engineering, process engineering, chemistry, physics, or computer science Ability to quickly familiarize yourself with the various issues involved in energy storage and
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The German Aerospace Center (DLR) and the Faculty of Engineering, Computer Science and Psychology at the Ulm University are seeking in a joint appointment procedure (Jülich model) a university
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
, the energy efficiency and the safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Experimental analyses of Ion-Specific effects
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Chair of Biological Imaging 30.01.2026, Academic staff Researcher (m/f/x) with an engineering or physics background and a motivation to drive the technology towards the market. The lab The Stiel Lab
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or electric engineering, physics or comparable. Basic programming skills in Python, C++ and/or Matlab are required. Good understanding of optics simulation, lithography and cleanroom processes (coating, etching
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic systems with a strong focus on robustness, transparency, and reproducibility. Conduct