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Field
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, Psychology, Human Factors, Human-Computer Interaction, Statistics Data Science, or a related discipline is required. The candidate must have experience conducting and publishing research in one or more areas
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
the nervous system. The successful candidate will conduct independent and collaborative research using genetic, molecular, imaging, and quantitative approaches to study glia-neuron interactions and the
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computational methods and collaboration, HELM addresses global challenges by blending eco-social health determinants, human-natural system interactions, and convergence research. The selected candidate will work
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unknown. The Xie laboratory studies virus–host interactions in viral infection, cancer, and innate immunity (PNAS, 2026; PNAS, 2025; Science Advances, 2021; Cell Reports, 2020). Our recent work indicates
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Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special Instructions Summary Important Message 1) All employees serve as a
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track record in CPC research and mentoring of junior investigators. Fellows will also directly participate and interact with the YCC Research Programs and other research centers and groups at Yale
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), methods to measure protein/protein interactions, generation of stably transfected cells and reporter gene assays. You have strong experience in analyzing and presenting data in a broader context and are
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Posting Summary Logo Posting Number RTF00164PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Appointment Dates: July 1, 2026, to June 30, 2027 Proposed Compensation: $68,500 or commensurate with experience. Email/Website: [email protected] , https://www.reilly-lab.com(Link is external) , https
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and the mechanisms by which bacterial infections alter host metabolism and immune responses. Our research focuses on understanding both bacterial physiology and host-pathogen interactions