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The Artificial Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School
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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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components we develop, and contribute to red/blue team exercises within the ARIA programme Contribute to open-source releases and engage with their user communities Profile Higher degree in computer science
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science, etc.) or in computational social science. An interest in problems related to climate, sustainability, energy, and/or labor economics. Ability and/or desire to work in a team/lab setting. Fluent in
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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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and frontend as one coherent system (upload data, run scoring, show ranked results). Degree in computer science, software engineering, data science, machine learning, or an equivalent field; Strong
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8 Sep 2026 Job Information Organisation/Company EPFL Department Civil Engineering Research Field Engineering Environmental science Researcher Profile Recognised Researcher (R2) Positions Postdoc
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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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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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-scale genomics. • Contribute to technical reporting, programme deliverables and stakeholder presentations. Profile • MSc or PhD in bioinformatics, computational biology, computer science, data