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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
hours per week Work Schedule Monday thru Friday Pay Rate Minimum Experience/Education This position requires a PhD in Biology, Genomics, Computer Science, or a similar field. The postdoc will report to
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. https://pai.seas.harvard.edu The postdoc is intended for one year but we anticipate there will be funding to potentially extend it to a second year. The postdoc will receive a generous salary as
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: The Infrastructure Materials Group at the National Institute of Standards and Technology seeks a researcher with knowledge of reliability testing and modeling for advanced semiconductor packaging and extensive
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 4 hours ago
at Charlotte is interested in the molecular mechanisms of genome integrity and cancer etiology using Xenopus egg extracts and mammalian cells as model systems. In particular, the Yan lab has made contributions
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, postdocs, and external collaborators. Duties and Responsibilities Conduct independent research under supervision within the project framework Generate and analyze stable CRISPR knock-out and knock-in cell
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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, combustion, and the atmosphere. For more information, you can visit the Department of Mechanical Engineering’s website at www.engr.colostate.edu/me/ Position Summary The Center for Laser Sensing and
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or create an account to save a job. Send job Key Responsibilities: Project planning, scheduling and management. Literature review of technologies and commercial market scanning. Modelling, simulation and
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modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian hierarchical modeling using Integrated Nested Laplace Approximation (INLA). The work will contribute to ongoing