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. Involvement in participant recruitment and testing. Work with data acquisition and analysis as well as student mentorship. Writing manuscripts and grant proposals. Presenting research in professional and
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genomics and/or computational analysis of biological datasets; CD4+ T cell biology or adaptive immunity more broadly; immunophenotyping and ex vivo assays on human clinical specimens; MHCII tetramer
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: A WashU-funded study examining patient navigation and human-centered design approaches in cancer care in Kenya. The fellow will support study coordination, data analysis, and dissemination. • PRIME-KS
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in-depth knowledge of the regulatory pathways controlling meiotic maturation in *Xenopus* oocytes. The agent should have experience in protein analysis by electrophoresis, immunodetection techniques
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. * Remote and in-person support, training, and/or supervision of field teams on projects. * Development of training materials related to analysis of water, wastewater, and human biological specimens. * Data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. * Remote and in-person support, training, and/or supervision of field teams on projects. * Development of training materials related to analysis of water, wastewater, and human biological specimens. * Data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
. * Remote and in-person support, training, and/or supervision of field teams on projects. * Development of training materials related to analysis of water, wastewater, and human biological specimens. * Data
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Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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. Activities - Literature review and data compiling - Planification and realization of biochemical experiments (assembly of biochemical reaction networks) - Data analysis and regular (weekly) reporting