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Postdoc in Generative Machine Learning for Biomedical Data | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 21.02.2026 Join a place where
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computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant
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: https://www.list.lu/ How will you contribute? This postdoctoral position is part of a large European project involving universities, research institutions, and industrial partners across Europe
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. For more information about our research, please see the following publications and website: Science 381: eadd6696 (2023) PMID: 37499037 Science Advances 8: eabo0404 (2022) PMID: 35857842 Nature 597: 132
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of synaptic neural circuit function Molecular, genetic and viral tools For more information about our research, visit our lab website: https://www.med.upenn.edu/fuccillolab/
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD
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phylogenetics and address long-standing questions about disseminated tumor cell origins and fates. The candidate would join the laboratory of Cyrus Ghajar (https://research.fredhutch.org/ghajar/en.html ), which
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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website at https://anth.la.psu.edu/ for more information about Penn State's Department of Anthropology. Review of applications will begin immediately and continue until the position is filled. BACKGROUND