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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex
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). This position offers a unique opportunity to collaborate closely with researchers across the Division of Marine Technology at Chalmers University, with a focus on maritime transportation risk analysis. Project
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you the chance to contribute to ground-breaking research in highly dynamic international team, potentially shaping the future of neuroregenerative treatments. The role may occasionally involve flexible
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Canada, along with other bison management agencies, requires genomic tools to provide solutions to manage zoonotic diseases and improve gene flow among herds without the risk of introducing disease
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of the Postdoctoral Associate is to conduct and coordinate population research that examines health-related behaviors, beliefs, and policies aimed at mitigating cancer risk. Working under the direct supervision and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
environment that integrates virology, molecular biology, and computational analysis. The ideal candidate will have the opportunity to gain hands-on experience with emerging technologies such as PacBio HiFi
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. Qualifications Applicants with experience in mixed methods, particularly digital methods, data scraping/analysis and qualitative research (Netnography and interviews) will be preferred. Proficiency in English and
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Department of Science, Innovation and Technology, with a mission to equip governments with a scientific understanding of the risks posed by advanced AI. The WearAI project is investigating the societal
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Your Job: Urban aerosol particles pose one of the greatest global risks to human health. A substantial fraction of these particles is secondary – formed through atmospheric reactions of emitted
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conditions on freezing rain and its influence on structural ice load standards in the U.S. The successful candidate will work with cutting-edge climate data, environmental hazard modeling, and structural