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-solving person with a strong background in bioinformatics and previous experience with next-generation sequencing (NGS), ideally in cancer genetics. In particular, familiarity with the analysis of whole
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
technologies to scientific research study and experiment design, big data mining and processing, algorithm development, and complex computational analysis. They have expertise in the ethical issues of using AI
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
vibrant community forum for clinicians and researchers. Dr. Lee's research group (https://sulggileelab.ucsf.edu/), housed within the division, focuses on clinical and translational research, and in
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institutes and centers. The Data and Democracy Research Lab is a unique interdisciplinary team combining expertise in mathematics, algorithm design, geospatial data, and public policy. Members of the lab
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collaboration in the development of a multilingual health literacy dictionary and the construction of a health literacy algorithm to be integrated into an API for health platforms, as well as contributing
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interactions, nuclear structure and reactions, electroweak structure, and lepton-nucleus scattering. The candidate will contribute to advancing statistical and computational algorithms to extend the capabilities
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research grant Refª BI|2025/802 Project ATE – Refª C644914747-0000023 funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application
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possible for up to 1 day/week. You will join an interdisciplinary team of researchers spanning imaging science, machine learning, genetics, and population health, working closely with collaborators
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fermentation parameters or genetically engineer strains to enhance performance. We also collaborate closely with Queensland Metabolomics and Proteomics (Q MAP https://www.qmap.org.au/ ) and the Australian Genome
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funded by a EU programme Reference Number AE2025-0603 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais