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or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems
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writing. • Computer literacy (MS-Office; Imaging Software). • Basic experience in academic writing. • Didactic competences / experience with e-learning. • Excellent command of written and spoken
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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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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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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
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. The team's research interests focus on works, media, and contexts of images, architecture, and objects of Islamic art and the early historiography of Islamic art. Current research explores Arabic, Persian, and
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university assistant predoc, you will join the international team on Islamic Art History led by Professor Markus Ritter. The team's research interests focus on works, media, and contexts of images