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100%, Zurich, fixed-term ETH Zurich is one of the world’s leading universities that specialize in science and technology. It is renowned for its excellent education, its cutting-edge fundamental
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Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation Algorithms. An excellent Master’s degree in Computer Science, Engineering
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metals), robotic fabrication, circular engineering, experimental methods, and topology optimization; Fluent in English (oral and written); Experience with computer aided design (CAD, e.g., AutoCad, Rhino
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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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as possible. Applications are evaluated on a rolling basis until the position is filled. Profile Master's degree in Materials Science, Chemistry, Mechanical Engineering, Electrical Engineering, or
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group “Design for New Technologies” at inspire offers in collaboration with the Product Development Group
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mathematics, computational sciences, or a related field. Additionally, you have prior programming experience and are fluent in English (oral and written). You show enthusiasm for conducting original research in
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should have: Master's degree in Integrated Building Systems (MIBS), architecture, urban planning, civil engineering, environmental science or a related field. Strong computational skills with experience in
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, Environmental and Geomatic Engineering has an opening for a doctoral student focused on the stress testing complex and interconnected infrastructure systems. Project background Complex and interconnected
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nanofabrication, optics, optomechanics, vacuum technology, programming for experiment control and data evaluation is highly valued but not mandatory. Workplace Workplace We offer We are an international and