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methodological and focuses on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning
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biology . The positions cover the full stack of biological foundation model research: from core architecture design and pretraining at scale to integration into agentic interfaces. Both roles involve
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on multimodal model development. We are recruiting a postdoctoral researcher with strong expertise in large-scale AI development and a background in biology . Working in close collaboration with
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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting
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anaerobic digestion communities as a model system. Main duties and responsibilities Anaerobic digestion communities are among the best-characterized and most ecologically important microbial ecosystems
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, hydrological and land-cover data, and applying approaches such as the InVEST Urban Cooling Model and relevant flood-analysis methods. Coordinate field measurements and model validation along selected
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understanding of model assumptions, uncertainty, validation, data structure, and the limitations of different analytical approaches. Experience with multimodal human behavioral data, time-series data, sensor
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significantly relaxed through sparsity. The questions we want to answer: How temporal and structural sparsity can be incorporated into the 3D dynamics reconstruction model? How sparse can a
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infrastructure in both Fribourg and Lausanne. Additional information For more information about HOBEL: https://www.epfl.ch/labs/hobel/ For more information about Prof. Dusan Licina: https
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highly motivated Postdoctoral researcher (W/M) to join our Neuroengineering Laboratory at EPFL ( https://go.epfl.ch/ramdya/ ) to work on an ERC funded project aiming to reverse-engineer insect limb motor