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be in charge of finishing ongoing projects in the group, involving the development of probabilistic methods for the identification of non-coding cancer driver elements and of the tumor mode of growth
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Position Information Posting Number F00716P Position Title Postdoctoral Research Associate Department Electrical Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Non
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) (Dr. Simpson’s webpage). The original call for the solicitation can be found here: https://www.energy.ca.gov/solicitations/2025-02/gfo-24-307-advancing-designs-and-analysis-high-voltage-direct-current
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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disorder. This project investigates early neural markers of psychosis by integrating multimodal neuroimaging with genetic and transcriptomic data and applying machine-learning approaches to identify
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the Duke Global Health Institute. Both positions have full benefits, and salary will be determined based on current NIH scales. The initial appointment will be for two years, with the expectation
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
at the land-atmosphere interface or mapping soil mineralogy and organic matter content. Data and Methodology The project will leverage NASA’s imaging spectroscopy archives and current activities. Candidates
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20 Feb 2026 Job Information Organisation/Company Université de Pau et des Pays de l'Adour Department SIAME Research Field Engineering » Computer engineering Physics » Computational physics
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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the