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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
. This role is ideally suited for ambitious, technology-driven scientists who wish to transform breakthrough technologies into impactful biological and biomedical discoveries. For more information on
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exploration goals. Review the latest FINESST solicitation for details by visiting https://nspires.nasaprs.com/ and search using keyword “FINESST”. NASA Space Technology Graduate Research Opportunities Graduate
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areas is considered a strong merit: Aircraft design (concpetual design and performance evaluation) Propulsion systems (performance, and integration) Multidisciplinary modelling (combining engine
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University of California Office of the President | Oakland, California | United States | 15 days ago
improving quality and service to our campuses and beyond. We apply best-in-class sourcing methods with emphasis on sustainability and supplier diversity, invest in leading tools and technology, and cultivate
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combination of infrastructure, scientific expertise, and collaborative model, the VIB Agro-Incubator functions as an international catalyst for advancing cutting edge agricultural biotechnology and is well
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, assess the health state of systems, and predict their future evolution and remaining useful life. The proposed approach integrates physics-based and data-driven modeling techniques, including machine
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Georgia College & State University (GCSU) is the state's designated public liberal arts university, where students learn the essential skills to compete in a fast-paced and technology-driven global
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-driven cost analysis that informs early project definition, scope development, and delivery method decisions across the capital portfolio. This role ensures that project budgets are credible, comparable
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and domain adaptation for data-scarce regions and integration of weather, mobility, and socioeconomic data for predictive modeling. Distributed infrastructure resource management, including data-driven
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science. The successful candidate will develop innovative methods and models to decode the language of the genome and advance our understanding of how genetic variation contributes to complex diseases