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- $55,000 Type of Position Student Position Time Status Full-Time Required Education Doctorate degree in social science discipline (e.g., Sociology, Public Policy, Education, Anthropology, Political Science
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calculations, sample size determinations and statistical analysis plan. 3. Apply machine learning approaches to integrate diverse datasets collected from study participants to identify subtle differences
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calculations, sample size determinations and statistical analysis plan. 3. Apply machine learning approaches to integrate diverse datasets collected from study participants to identify subtle differences
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Biochemistry at the University of Kentucky College of Medicine, which provides, state-of-the-art facilities to support metabolomics, proteomics, advanced microscopy, FACS analysis, and animal research. We also
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developmental progress. The candidate(s) are expected to works across several projects to support the PI, as well as support the students for data collection and analysis. The candidate(s) must be adept
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individual patient journeys, and providing real-time dynamic views of patient health. This involves working with multimodal datasets, including EHRs, genetic data, and social determinants of health
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physics Required Related Experience Hands-on experience with ultrafast nonlinear optical spectroscopy (e.g., femtosecond transient absorption), including laser operation, optical alignment, data analysis
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clotting in diseases with vascular pathology like sepsis, aortic dissection, and fibrosis. Postdocs will engage in exciting research, data analysis, and publications, with support from new R01 funding. We
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cardiovascular sciences. Proficiency in experimental design, data analysis, and interpretation. Excellent written and oral communication skills, with the ability to convey complex scientific concepts effectively
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clotting in diseases with vascular pathology like sepsis, aortic dissection, and fibrosis. Postdocs will engage in exciting research, data analysis, and publications, with support from new R01 funding. We