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Sciences and the School of Life Sciences, as well as the EPFL AI Center. We are recruiting two postdoctoral researchers with strong expertise in large-scale AI development and a background in biology. The
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this project is to exploit transcriptomic data sets for the discovery of new therapeutic antibodies. The lab has a very translational focus, running a tech development lab on the EPFL campus and a translational
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political implications of vertical urban development. The project has three main ambitions: (1) developing methods to measure verticality and its impacts in data-scarce contexts, in Africa and elsewhere; (2
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computational modelling, hardware development, validation studies, and translational neuroscience research. Main duties and responsibilities Provide scientific, technological, and technical support for
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the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing. Proof assistants such as Lean, together
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the scientific and operational implementation, future development and national scale-up of the Genome of Switzerland programme. • Support the PI/Academic Director(s) in defining scientific priorities and programme
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tools (e.g. Prometheus, Grafana). Providing support and consultation for clients. Leveraging Agentic Workflows: Proactively utilizing advanced development tooling (e.g., GitHub Copilot, internal LLM
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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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media, reagents, and stock solutions for cell-based and in vitro experiments, ensuring consistency and accurate documentation. Support established experimental workflows and contribute to the development
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renowned multidisciplinary institution The opportunity to contribute to exciting, varied, and high-impact projects Attractive working conditions Opportunities for continuing professional development