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Affairs. The FY27 minimum is $79, 056. Our research team is seeking a postdoctoral scholar interested in cardiovascular and cardiac surgery outcomes research and predictive analytics using advanced
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principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and
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Working with biophysical assay data (e.g. SPR, TR-FRET, AlphaLISA, ITC, NanoBRET) to guide compound design and prioritisation Use of analytical chemistry techniques relevant to probe characterisation (HPLC
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recordings, intracranial stimulation studies, and sleep evaluations. Apply quantitative and analytical approaches to interpret multimodal research data. Utilize programming and data analysis tools such as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 09/28/2026 Application Deadline 10/02/2026 Open Until Filled No Position Type Postdoctoral
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identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment
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explainable AI strategies to improve prediction, interpretability, and breeding decision-making. Join TEAM-AI to translate cutting-edge analytics into practical solutions for global food security. TEAM-AI aims
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should possess a degree in a relevant scientific discipline (or equivalent experience), experience and expertise in catalysis broadly, and analytical chemistry methods, with particular emphasis in
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Experience with computational or simulation modeling methods Experience with complex survey data analytic methods Familiarity with tobacco control and/or cannabis control and/or alcohol control. Strong
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candidate with experience in data analytics, computation, statistical analyses, and decision-analytic modeling who is interested in health policy and economic evaluation. Prior work in any of the following