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, and cryo-electron microscopy (cryoEM), X-ray crystallography, and other structural techniques enable them to obtain the three-dimensional structures of these molecular machines. More information can be
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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how movements influence sensory feedback and visual processing—laying the foundation for more effective clinical therapies and biologically inspired AI. Learn more about our work: https
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centre at Universit´e Cˆote d’Azur, I3S Lab (Universit´e Cˆote d’Azur and CNRS) in collaboration with the Machine Learning Genoa Centre (MaLGa) at the University of Genova (Italy). The candidate will be
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collaborative environment. A team that believes in continuous learning and cultivates an environment of collaboration. Professional development opportunities through internal and external conferences and
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using hybrid models combining mechanistic, GenAI, and machine learning approaches. You’ll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets
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funds, a pre-tenure research leave, access to support for travel to conferences/workshops, and a 3-contact hour course release in the first year. The hire will be expected to teach 18 contact hours each
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Angelopoulos, Stephen Bates, et al. Conformal prediction: A gentle introduction. Foundations and Trends® in Machine Learning, 16(4):494–591, 2023. Arthur P Dempster, Nan M Laird, and Donald B Rubin. Maximum
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some