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. Postdoctoral Associate Position Haynes Lab Be You. The Duke Human Vaccine Institute (DHVI) provides national and international leadership in the fight against major infectious diseases. We are a large
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
scatterings including phase formation, evolution, and elemental site occupancy in crystal structure etc. will be transferred to help to develop process of fabrication of large energy storage device. This work
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within the Department of Radiology. The candidate will have the opportunity to work on “big data” studies in health and diseases, including schizophrenia, psychosis, and Alzheimer’s disease. We collaborate
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are accessible, scalable and sustainable. The scholar will play a key role in analyzing school and clinic-based data as well as policy implementation at the local, state and national level. It is also an ideal
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Telescope, Keck telescopes, Spitzer Space Telescope, Very Large Telescope) on galaxies, quasars, circumgalactic/intergalactic medium, and the implications of the data for galaxy evolution; helping with
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project, including experiment conception, preparation and setup, data collection, and data analysis and interpretation. Provide support to collaborative research efforts, including experiment design and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
Posting Information Posting Details Department Earth Marine Environmt Sci - 318000 Posting Open Date 05/23/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data management and analysis
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experiment at the Large Hadron Collider. The research activities of the group will focus on the study of the partonic structure of protons and nuclei, as well as the properties of quark-gluon plasma. The group
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from real world longitudinal data on management and health outcomes for children with mental health conditions. Methods have included deep learning, large language models (LLM), generative AI models (Gen