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Field
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of bioinformatics, artificial intelligence, and systems biology, with a focus on single-cell genomics and other omics layers to understand early deviations in cardiometabolic diseases. Candidates should have a strong
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levers: human-centred artificial intelligence, urban design, and policy. These solutions include interactive technologies (e.g., personalised real-time accessibility maps, lightweight wearable devices
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-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH ZürichETH Zurich is one of the world’s leading universities specialising in science and technology. We
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services, or social networks will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH ZürichETH
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and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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. Requirements: PhD in Vascular Biology, Cell Biology, Mechanobiology, or a related field Solid expertise in vascular biology, ideally complemented by knowledge of mechanobiology and microfluidic engineering
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modeling, artificial intelligence (AI), machine learning, and neuroinformatics methods to address pressing questions in clinical neurology. This position offers opportunities to work on large biomedical
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/Qualifications PhD degree in the field of computer science, or related fields (e.g. robotics and automation, etc.) within the last 7 years. Demonstrable experience in Artificial Intelligence (publications or code
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partners to promote the industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations
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computer science, or a field related to computational sciences. Must have a strong background in computer vision, artificial intelligence (AI), and/or wireless networking and systems, and related fields. Preferred