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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology Mission
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology 1 Mission
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to the technical and quantitative training of junior lab members. Candidate profile Applicants should have a PhD in biomedical engineering, electrical engineering, computer science, data science, computational
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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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the application form provided below. It should be duly completed (including recommendation letters) before the deadline specified by the doctoral program of your choice. Selection Students wishing to do their PhD
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conducts applied and theoretical research on the economics and politics of sustainable development, as well as the policies to achieve it. More information at: https://www.epfl.ch/labs/pasu/ . We are looking
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experimental research, including experimental campaigns, data analysis and process optimization, while ensuring high standards of laboratory practice, documentation, scientific integrity and safety. You will
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to advance knowledge in the following domains: Formal verification and interactive theorem proving (Rocq, Lean) Secure and high-performance computer systems, including ML infrastructure We seek outstanding
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of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. As part of an industry collaboration with Novartis, the lab is opening a postdoctoral position on
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, implementation, and open-source release of the lab’s tools and artefacts Participate in the supervision of PhD and master students Profile PhD (or nearing completion of) in computer science or a closely related