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in software development, and keen interest in dynamics of stellar systems. A key task is to lead the development and support applications of our pioneering code for orbital modelling of stellar systems
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cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the work will be focused on the maintenance and strategic development of the group's
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our state-of-the-art fluorescence imaging instruments, which include a Leica Stellaris 8 STED super-resolution confocal microscope, a Leica SP8 confocal microscope, a Leica Thunder epifluorescence
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, conference presentations) A statement from your supervisor committing to support your finalization phase Compliance with the CoBeNe regulations for PhD candidates (agreement to the Code of Good Practice, FÖP
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DOME using our state-of-the-art microbiome imaging instrumentation, which includes a NanoSIMS 50L, a Stimulated Raman Scattering (SRS) microscope, a point-scan and wide-field mid-infrared photothermal
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to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You have previous
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analyze three-dimensional motion capture data and medical images from various groups, including clinical populations, healthy people and elite athletes. Our goal is to improve clinical decision making in
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Machine Learning, Code Analysis/Generation for Machine Learning and MLOps, and Continuous Delivery and/or MLOps. You participate in research projects and studies. You hold university courses within
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Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data’ as Data Manager. Work alongside leading experts at the Computational Imaging Research Lab (CIR ) and the Department
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research methods Experience with image editing programmes What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a