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Principal Investigators and Professors in the Department of Health Promotion and Policy, the candidate will perform activities on multiple research projects. The candidate will be expected to work with a
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
Experience, Skills, Training/Education: Preferred Qualifications • Prior primary data collection experience, particularly in the area of physical activity • Strong computational and analytical skills
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University Medical Center (GUMC), Department of Family Medicine is recruiting a Postdoctoral Fellow to join the Community of Scholars Health Equity (CSHE) Training Program. The CSHE aims to advance primary
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availability, and performance. Primary Duties and Responsibilities Work closely with PI and the research team to plan, design, and execute scientific research. Perform experiments using appropriate cellular and
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results at national conferences, and publish the results on high impact journals. Develops own research project(s) under the guidance of the PI. Instructs and trains students, technicians and laboratory
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for a second year subject to satisfactory performance Qualifications Requirements: · Ph.D. in Atmospheric Science, Meteorology, Engineering, Computer Science, Physics, Mathematics, or related
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renewal based on satisfactory performance and continued availability of funding. Basic Qualifications Ph.D. in Statistics, Biostatistics, Computer Science, Probability, or directly related field at time of
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candidate is expected to report findings in high-impact, peer-reviewed publications. There is also the opportunity to perform in-vitro validation (benchwork) of hypotheses generated through these analyses
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marine or coastal related science, engineering or geosciences. Required Certification, Licensure/Other Credentials Preferred Qualifications High level knowledge of multiple computer languages, math, and