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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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, for preclinical testing of engineered circuits where relevant; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly
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interdisciplinary research projects in collaboration with a team of legal, economics, and computer science scholars. Workplace Workplace We offer We are an interdisciplinary research group at the intersection of law
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for global society and future generations. A tailor-made program for your professional development. Participation in and shaping a dynamic research team with supportive colleagues, fostering collaboration and
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inspiring spaces at ETH Zürich - surrounded by 3D printers, computers, whiteboards, ideation tools, custom-designed furniture, and plenty of plants. We currently have two locations: our main space near
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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program, active participation in teaching within the framework of medical studies as well as the coordination of the promotion of junior staff and specialist training. The professor will be
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members of the Plant Ecology Group contribute to teaching and mentoring Bachelors and Masters students. Please see this website for more information on the doctoral program in the Department
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studies, science and technology studies, digital humanities, computer science, literary studies, philology, cultural studies, history and philosophy of science and technology, information studies, or other
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, and/or agency, and/or comparable experience in space-related industry Management experience in a complex and larger project or program, e.g. as PI/Co-PI, project manager Significant personal experience