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the ARIA programme, including red/blue team exercises and sprint reviews Profile PhD (or nearing completion of) in computer science or a closely related field Background in formal verification, programming
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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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, 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
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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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present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in formal verification with Lean You have
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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