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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic
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and tuition assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been built by employees, for employees Instructions to Applicants: Applications
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Associate in the Bashir Lab for Liver Imaging Research within the Department of Radiology, you'll contribute to transformative research that advances the future of medical imaging and patient care. You will
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design within an active, growing translational research program. This is an unusually opportune time to join the lab: the IBC work sits at the leading edge of a paradigm shift in how recurrent UTI is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools
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metrology, and microscopy. An emphasis on publication of research results and development of new ideas for research funding. Also involves responsibility for care and oversight of lab operations, including
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, viral vector engineering, and computational modeling to decode the development, circuit organization, and degeneration of the visual system. We are seeking a highly motivated scientist trained in
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Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts
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students. Designing novel experiments and concept in several basic, translational, and clinical projects in metabolic diseases and pregnancy disorders Good computer literacy including databases, standard
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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long