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Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic
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computational biologist to collaborate with a multidisciplinary team to develop innovative computational algorithms and approaches to address crucial questions in cancer biology. The role will involve
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and with this GSI position. Please include your University Department/Program and year in graduate studies. Responsibilities* Enter student assignment and project grades into Canvas as provided by
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neuroimmunology program in the Department of Neurology at Yale School of Medicine, with close ties to genetics, computational biology, and clinical trial groups, including partnerships with pharmaceutical
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applications for a Research Software Engineer (RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC). The HAIC Institute ( https://haicinstitute.org/) is a 5-year (2026-2031), $21.5 million, multi
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our interdisciplinary research program investigating the biology of hepatitis B virus (HBV) and the mechanisms that allow the virus to establish and maintain chronic infection. Our long-term goal is to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
Posting Information Posting Information Department Renaissance Computing Inst-637100 Career Area Research Professionals Posting Open Date 09/08/2026 Application Deadline 09/21/2026 Open Until Filled
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fidelity of implementation of assessments. Participates in meetings and planning sessions to share implementation observations and provide updates to inform program and process improvement. Participant
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences