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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Post-doc on formal verification and algorithm discovery for numerical analysis About us and
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optimization for heterogeneous distributed data, and hardware/software codesigned engines for demanding applications. Main duties and responsibilities Work closely with all members of the lab carrying out
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, and model adaptation strategies. Scalable AI training: distributed training, efficient fine-tuning, evaluation, and deployment on large-scale compute. Multimodal learning: representation learning and
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incorporate the known design information into the imaging process? The primary focus will be on algorithm development, followed by their demonstration at synchrotron experiments. You will start
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? The primary focus will be on algorithm development, followed by their demonstration at synchrotron experiments. You will start working with an existing data acquisition and reconstruction pipeline
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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basic research projects i) investigating of the role of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and cancer; see https://data.snf.ch/grants/grant
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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