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quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework for tissue self
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positions are flexible in terms of research direction within 3D vision and graphics with a heavy focus on cutting-edge deep learning-based techniques. We are particularly interested in static and dynamic 3D
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Management Systems. You are passionate about applying cutting-edge information technology to solving the energy and climate crisis and would like to work in a vibrant research environment? Then let’s design
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or biodiversity, basic knowledge is a plus Motivation to contribute to teaching What we offer Cutting edge research in an interdisciplinary team with extensive expertise in climate and energy policy and state
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding