32 postdoctoral-biomedical-signal-processing PhD positions at Nature Careers in Germany
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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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to the interpretation of immune-related processes Participating in the CRC 1450 graduate school and presenting research findings at internal meetings and international conferences REQUIREMENTS: A Master’s degree in
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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REQUIREMENTS: A Master’s degree in Biology, Biomedical Imaging, Physics, or a related discipline A strong interest in in vivo imaging, cell tracking, functional cell analysis, and data interpretation Previous
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Area of research: Scientific / postdoctoral posts Job description: We are seeking an enthusiastic and motivated PhD student to conduct research at the interface of immunology and neuroscience
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Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis of single-molecule microscopy data in collaboration with theorists from other institutions Your
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, neuroscience, biomedical sciences, or a related field A keen interest in neurophysiology, epidemiology, and the neuroscience of neurological and psychiatric conditions Solid experience in experimental research
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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internationally renowned scientists. The selection procedure will include a symposium to be held in September/October 2025. Our concept puts special emphasis on individual scientific excellence and the potential