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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
that could eventually be used in the clinic. The Postdoctoral Research Associate will develop diagnostic and prognostic deep learning models for Alzheimer’s disease, using rich existing multimodal datasets
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for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Registered
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of long-term material performance. The researcher will collaborate with industrial and academic partners on specimen fabrication, fatigue testing, and computational modelling. The expected outcome is a
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, adapting and troubleshooting multiple materially distinct biomaterial platforms for biological research, including their application to patient-derived cancer-cell models. An established research track
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- Postdoctoral Research Associate, 306-YY_FACULTY - Postdoctoral Research Associate Business Title: Postdoctoral Research Associate – Regional Air Quality Modeling and Forecasting Employee Type: Faculty (+) (Fixed
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in transportation, the energy transition and sustainable reuse. Research themes include dynamics of structures, mechanics of materials related to e.g., climate change, modelling and design of railway
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fundamental questions in neuroscience. Research areas are broadly defined and may include models of neural circuits and population dynamics; computational and theoretical studies of brain development
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, Rutgers University. These positions are funded by research grants from the National Institutes of Health (NIH). Dr. Zhu’s research team focuses on modeling studies of small-molecule drugs, nanomaterials
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characterisation, and numerical modelling to better understand how waste rock properties evolve over time and influence long-term slope performance. This role presents an exciting opportunity to contribute
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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI