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Field
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treatments. Sophisticated technologies such as 3D tissue imaging, molecular profiling are combined with AI tools to decode the complexity of tissues and shed light into cancer biology. Our interdisciplinary
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. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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degree in a natural science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging
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science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology
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resistance to wear and corrosion, is ideal for extreme environments. However, its high melting temperature and brittleness make it difficult to process using conventional methods, limiting its industrial use
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit, which provide
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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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other equipment at the Cellular Imaging Facility Operation and quality testing of fluorescence microscopes Training and support of users of electron microscopes Laboratory management Your profile
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candidate will facilitate code collaboration within the Modelling of Atmospheric Processes (MOD) department and, in particular, manage IAP code contributions to the upper atmosphere components of the ICON
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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