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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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computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive science
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data modalities. AI for scientific discovery: methodological advances with potential applications across biomedical and scientific domains. We are looking for candidates with A PhD in machine learning
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collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied mathematics, computational neuroscience, robotics, physics or a closely
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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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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 6,500 people supporting the three main missions of the institutions: education, research and...
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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data