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Field
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related field and have previous academic experience in machine learning. The candidate should have a strong background in metrology and medical image processing. Active participation and collaboration
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Selection Requirements: Relevant scientific production in the area of medical imaging, including publications in scientific journals and presentations at national and international congresses; Experience in
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biology, microscopy and image analysis, and bioinformatics will be highly considered. Required languages: French and/or English. LanguagesENGLISH LanguagesFRENCH Additional Information Selection process To
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
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well as train and support lab scientists on various cell biology and microscopy techniques including live imaging using confocal microscopy Train and support lab members on standard and emerging molecular biology
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. The Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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3 Apr 2026 Job Information Organisation/Company Medizinische Universität Wien (Medical University of Vienna) Department Rektorat Research Field Chemistry » Biochemistry Chemistry » Molecular
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, multidimensional signal processing and audiovisual computing. We are a core member of IMEC, the world-leading research and innovation center in nanoelectronics and digital technologies. Our team is currently a