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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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biology, including: Genetic engineering of human malaria parasites (CRISPR/Cas9, DiCre, etc.) A broad spectrum of cutting-edge imaging methods (live-cell and time-lapse fluorescence microscopy
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being carried out in close collaboration with Dr. Alexei Kiselev and his research team at the Karlsruhe Institute of Technology. The Department of Atmospheric Microphysics is looking for a committed
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QCLs) for high-resolution spectroscopy. Within the framework of the priority program INtegrated TERahErtz sySTems Enabling Novel Functionality (INTEREST) funded by the German Research Foundation (DFG
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molecular cell identification and single-/two-photon imaging techniques. You will work at the Leibniz Institute for Neurobiology (LIN) with Prof. Stefan Remy and in close cooperation with Dr. Janelle Pakan
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functionalities. This highly collaborative project, jointly investigated by PDI, TU Munich, University of Münster and HTW-Berlin, is funded by DFG within the priority programme SPP2477 "Nitrides4Future
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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trial emulation in e.g. post-authorization safety studies and conduct the analyses Publish and present research results Requirements: Master’s degree (or equivalent) in (Bio-)statistics or Mathematics
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. This highly collaborative project, jointly investigated by PDI, TU Munich, University of Münster and HTW-Berlin, is funded by DFG within the priority programme SPP2477 "Nitrides4Future". The motivation is to
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-performance computing and imaging facilities. a collegial, international atmosphere and flexible, family-friendly working hours a structured PhD programme with extensive training and career-development