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, computational mechanics, engineering, or a related field You have a strong background in topology optimization, ideally with experience in density-based methods (SIMP), level set approaches, or related design-for
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: A PhD degree, or a PhD nearing completion, in environmental, civil, chemical, mechanical, or architectural engineering, aerosol science, atmospheric science, exposure science, or another closely
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encouraged to apply. Profile Strong candidates will have: A PhD degree, or a PhD nearing completion, in environmental, civil, chemical, mechanical, or architectural engineering, aerosol science, atmospheric
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a new research collaborator with a PhD in building technology, preferably in the field of building materials and/or building envelope performance and/or building renovation. The candidate must be
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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, and PhD and master student supervision Profile PhD (or nearing completion of) Background in experimental neuroscience, computational neuroscience, and/or robotics Strong computational and analytical
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candidates with a PhD degree in computational biology, AI, computer science, electrical engineering, physics or applied maths, and with a strong aspiration for collaborative research of impact in biology or
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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, OSDI). We are looking for a candidate who is comfortable "looking under the hood" of the operating system. You do not need prior experience with optics. PhD/Masters in Computer Science, Electrical
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Generation, digital double, human-like avatars. Profile PhD in Computer Vision Background in CS Research experience in gen AI, deep learning Strong computational and analytical skills, as well as experience