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in resulting companies, etc. The work will comprise machine learning research for analysing large-scale clinical data, including time-series physiological data, blood test data, medications
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 9 days ago
collaboration with L. Bonati at IIT Genova, who developed the library mlcolvar, https://github.com/luigibonati/mlcolvar ). 2) Compare the data-science dimensional reduction approaches above, with machine learning
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to create interactive learning experiences. Career Readiness Competencies Take initiative to learn new tools, systems, or procedures on the job. Present ideas or updates in a clear and organized manner. Ask
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
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3 Mar 2026 Job Information Organisation/Company UNIVERSITE LE HAVRE NORMANDIE Research Field Computer science » Computer systems Computer science » Database management Computer science » Modelling
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high school education in lieu of required experience) Required License No If yes, what is the required licensure/certification? NA Required Computer Applications: Microsoft Access, Microsoft Excel
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University of California, San Francisco | San Francisco, California | United States | about 20 hours ago
. The salary range for this position is $72.96 - $90.91 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu
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options are NOT available for this position at this time. The Research Associate Data Scientist participates in biomedical research projects using programming, data - mining, statistics, machine learning
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
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: Microbiome; Bacteria; Microbiology; Metabolites; Nuclear Magnetic Resonance, Mass-spectrometry, Chemometrics; Multivariate statistics; Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL