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acquisition on fresh and fixed samples. Work closely with pathologists, surgeons, and computational scientists to validate imaging technologies for diagnostic and research use. Analyze imaging data and
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analysis, optical/IR spectroscopy, space-based imaging analysis (optical/X-rays), and other time-domain science. All offers of employment are contingent upon successful completion of a background check. The
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expertise in applied mathematics, computational methods, and imaging sciences, and actively collaborates with leading international researchers. The position will be supervised by Assistant Professor Babak
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synchrotron-based techniques to inform process development. The role requires a strong background in synchrotron characterization techniques, mainly three-dimensional imaging (microtomography and
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Forming (CEMEF, Sophia Antipolis), and the Laboratory of Materials Science and Engineering (MATEIS, Lyon). The latter specializes in studying the relationships between materials, processes, and properties
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: Letter of motivation and academic CV Organisational Unit Inverse problems and mathematical image processing is one of the research areas at the Department of Mathematics and Scientific Computing, which is
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, working at the interface between plankton ecology and computer sciences. The postdoc will work in strong connection with the GreenOwl team of Inria (National Institute for Research in Digital Science and
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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-graduate and/or post-doctoral research. Sound experience in cell culture, molecular biology, fluorescence microscopy and animal experiments is required. Expertise on intracellular Ca2+ oscillations imaging
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
writing and presentation skills Background in neuropathology and/or neuroinflammation (highly desirable) Familiarity with spatial biology techniques such as spatial transcriptomics and multiplex imaging