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engineering, and quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 1 day ago
IDEA TO PROTOTYPE For application-oriented research activities in our department Plasma Surface Technology we are looking for an expert to join us at the earliest possible date at the Greifswald site
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applications ranging from next-generation laser technology and precision material processing to laser-driven self-assembly and surgery, all the way to a long-term vision of developing an “Atom Printer” based
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for astrobiology and astrochemistry. Your profile A qualified candidate will have a PhD in electrical engineering, physics, or a related field, as well as expertise in one or more of the following: nanofabrication
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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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research in engineering, with the option to do a PhD, but you wish to work part-time with 50 %? Here we have an excellent job option for you: Process Chains & The Martian Mindset Our scientists
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 13 days ago
17 Oct 2025 Job Information Organisation/Company Leibniz Institute for Plasma Science and Technology Research Field Biological sciences » Other Chemistry » Biochemistry Researcher Profile
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often represented in large neural networks that are hard to analyze and whose decision processes cannot be interpreted by humans. To make this technology available without sacrificing safety concerns, we