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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours 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