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supply. The fellow's research supports the mission and goals of ARS National Program 108, Food Safety (100%). The candidate will be a part of development of sustainable technologies that solve
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March 2026 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project
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Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field Excellent scientific written and oral skills Experience in developing state-of-the-art optimization and prediction models
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high-dimensional features, including efficient computing practices and rigorous quality control. demonstrated multi-omics analytics experience across multiple platforms (including proteomics
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all procedures with clinical trial volunteers and you will provide broad clinical support to the HCV CHIM program (working with the project team, including a project manager). Giving clinical input
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. This position focuses on the development and application of large language models (LLMs) for advancing food informatics, food bioactives research, and sustainable food innovation. The selected fellow
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: One of the primary objectives of the Current Research program at USDA-ARS Southern
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findings at international conferences. Required qualifications and experience: To succeed, you will hold a PhD (or be close to completion) in Computer Science, Applied Mathematics/Statistics, Physics
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barriers using peptides to facilitate the targeted delivery of therapeutic molecules, leveraging a multidisciplinary approach that combines expertise from computational sciences and chemistry to pharmacy and