489 affective-computing-"https:"-"https:"-"https:" Fellowship positions in United States
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research that together enhance our contribution to society. Job Summary The Gilbert S. Omenn Department of Computational and Bioinformatics is seeking a Research Fellow in the laboratory of Dr. Naoki Masuda
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Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher -- Scientific Machine Learning (NESAP) to join the Workflow Readiness team as part of NERSC's
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and discussions, allowing the candidate to impact the direction of their research project and other projects within the research group. Assist in training of lab members. Contribute to preparing
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with a mission to find solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American
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Brain Cancer initiative, a cross-institutional program dedicated to translating technological breakthroughs into real impacts for brain cancer patients. Job Summary Brain cancers are one of our greatest
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to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and communities
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content. This work will help BSA detect trends, measure impact, and respond with speed and clarity. This position reports to Steven Fransblow, BSA Chief Data & Technology Office. Minimum Qualifications
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scientific in-house research agency with a mission to find solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative
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solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and
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program evaluation protocol that constructively evaluates the impact, potential opportunities, and future directions of the Resilience CoP. Collaboratively refine and implement a robust qualitative multiple