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Field
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digital PCR, multiplex assay design, or nanopore based detection. Experience working with laboratory animals, statistical methods, and bioinformatics. Experience working with maintenance of parasite life
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of avian biodiversity information worldwide. Jointly, these approaches can provide complementary geographic and temporal coverage, and integrating them can improve estimates of species occurrence, phenology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
- $63,480 Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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performance and detect anomalies Develop AI-driven predictive maintenance strategies to anticipate system failures or performance degradation Use AI/ML methods to optimize thermal system design parameters and
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of duties might include: ● Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation relative to research procedures. ● Collect, prepare and analyze
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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the dissertation, must be completed by the date of appointment. Demonstrated research experience with density functional theory or closely related first-principles atomistic simulation methods. Demonstrated research
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biology methods, dry-lab bioinformatic analysis, and a translational approach using clinical samples, including blood and tissue samples from people with HIV. This postdoctoral researcher may also be
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of machine learning, neuroimaging and Psychiatry, developing methods with the potential to improve our ability to predict clinical outcomes. They will have the opportunity to work with rich brain MRI datasets
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methods, advanced statistical techniques, and other areas. Responsibilities of the successful candidate include but are not limited to: Leading experiments focused on tobacco and cannabis product emissions