400 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United States
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
mechanism-driven AI and agentic AI frameworks (iGenSig-AI, G2K) that integrate biological knowledge with cutting-edge machine learning to transform omics data into actionable therapeutic insights
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senior research position to work on projects related to computational analysis of mass spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational
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the HNSCC team, including Taran Gujral (machine learning-enabled drug screening), Slobodan Beronja (mouse models of HNSCC), and Patrick Paddison (functional genomics). This work will encompass a broad array
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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can be found on his website https://knightlab.ucsf.edu/ About the role: We are looking to hire a full-time lab manager who has experience working with rodents. A core responsibility of the position (~50
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, or methodologies in bioengineering. This search has a particular focus in immunology, neuroscience, and/or computational science/machine learning. That said, we give high priority to the overall originality and
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support as Chancellor Scholars. Academic rank and salary will be commensurate with qualifications and experience. For details and to submit your application, visit https://phri.njms.rutgers.edu/ and https
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, machine learning, and data-driven modeling methods, physiology, transport, fluid and solid mechanics, systems analysis, circuit prototyping, technology transfer, and biomedical design practices, in
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, and society. We're proud of our strong reputation in molecular biology and biotechnology, but even more of the people behind it. Currently, we are looking for a Learning & Development manager Do you
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to build the strongest possible university with the widest reach. To learn more about the Arts & Science commitment to inclusive excellence, please read here: https://as.nyu.edu/departments