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theory, multi-objective optimization and machine learning. The specific project aims to understand the multiscale interactions shaping human gut bacteria and human gut pathogens. The project will combine
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presentations for group meetings. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field in Chemistry, Chemical or Mechanical Engineering, Materials Science, or a related
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modeling tools to support outbreak response, optimal vaccine strategies, and understanding key epidemiologic questions. This NIH-funded project is conducted in collaboration with the California Department
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stakeholders and objectives. Required Qualifications: Applicants must have received a PhD from an accredited university before the appointment start date. Demonstrates excellent written and verbal communication
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Vision is to use scientific discovery to ensure optimal health through individualized nutrition. Everyone who works at the NRI supports this hopeful vision. Working at the NRI means doing good
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
fieldwork activities involving collection of environmental and faecal sludge samples, on-site in Lusaka, Zambia and Kampala, Uganda; liaise with project partners and the community; develop and optimize
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plant architecture optimization, but new areas, particularly in molecular biology, immunology, and genomics, are welcome. For more information, see: navlakhalab.net. Position Requirements PhD in
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, and functional MRI. As a result, students enrolled in our PhD program come away with the broad conceptual and technical skills necessary to run an independent neuroscience research lab or pursue many
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scattering. Builds and optimizes the nonlinear spectroscopy and scattering setup for multiple interfacial molecular structure measurements. Actively collaborates with interdisciplinary teams on research and
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural