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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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, ideally in a technical or CS-related field Strong organizational skills and comfort managing multiple parallel timelines and stakeholders Working familiarity with tools such as Moodle, GitHub/GitHub
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, multilingual, tool-use, and safety benchmarks. Debug common post-training issues, including optimization instability, reward hacking, regressions, and evaluation failures. Profile Essential MSc or PhD in
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of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate about inventing, building, and
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the PI. Take the lead on work packages related to the candidate’s expertise. Mentor PhD students involved in the project. Profile A PhD in quantitative social sciences (economics, public policy, political
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supervise and mentor PhD, Master’s and junior researchers, supporting research planning, experimental work, interpretation of results, scientific discussions and knowledge sharing within PV-Lab. You will
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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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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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innovation (in particular, compile the EPFL inputs to the energy statistics for the Swiss Federal Office of Energy). Profile Phd Degree in a field relevant to energy Professional experience in a business or
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discovery through public and Novartis-internal datasets. We are looking for candidates with A PhD in machine learning, computer science, computational biology, or a closely related field (completed or near