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spectroscopy technologies (i.e. optical hardware). • Molecular biology / protein biochemistry expertise. • Experience in analyzing protein structural data (not necessarily acquiring the data). • Having already
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) Experience with probabilistic planning, Bayesian methods, or sensor fusion. Experience in field robotics or marine robotics. Experience with embedded systems or hardware integration. Willingness to obtain a
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, voltage converter modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell
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will need strong coding skills (preferably Python, but also other software and hardware description languages) as well as experience with Machine Learning Frameworks (such as TensorFlow, PyTorch, Stable
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various disciplines, as well as cooperation with international partners, an exciting and varied project with many different aspects and possibilities for expansion, modern hardware and infrastructure