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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
scientists in other departments across campus, including in science, medicine, and the humanities. Numerous computer science faculty members have adjunct or joint appointments in other departments, lead large
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: PhD in social science, data science, computer science, information systems, environmental science, ecology, or related field. Demonstrated ability to conduct independent research, as evidenced by peer
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of the institute, and can change their mentors during their fellowship. This is an opportunity to work with leading theorists as well as domain scientists who are eager to collaborate. A list of the members may be
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the next generations of scientists, forging tighter ties with industry and entrepreneurs, and creating new educational opportunities for graduate and undergraduate students. The Human Performance Alliance
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Information: 2 openings available. Internal Number: JR89249 Position Summary Functional Genomics of circular RNAs in Alzheimer's Disease. The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, is
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identify patterns that inform behavior change strategies. Collaborating with multidisciplinary teams, including behavioral scientists, data scientists, technology developers, platform owners and healthcare
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teamwork. Moreover, the successful applicant is expected to have an ability to work independently, a strong work ethic and a commitment to becoming an independent scientist with excellent skills in
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scientists at MTAC and collaborate with other labs. In addition to high-quality research facilities, career and professional development training for postdoctoral researchers is provided through the Career
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using real-time monitoring systems. Develop AI and machine learning models to integrate real-time monitoring data Collaborate with colleagues in computer science and computer engineering to integrate
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with theorists and experimental scientists. The project revolves around (1) implementing molecular simulations and developing new techniques for simulations of transmembrane proteins, particularly those involved