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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
modelling, and/or gene-environment interaction studies would be beneficial but not required. Prior training and experience with R or Python, manuscript and grant writing, project management, and ability
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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including Python, R, MATLAB is highly desired. Salary Range: Salary Commensurate with Experience Create a Job Match for Similar Jobs About University of Nebraska Medical Center A vital enterprise in the
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proposals to advance their scientific career. More information about the Department of Applied Physiology and Kinesiology can be found here: http://hhp.ufl.edu/about/departments/apk/ Expected Salary
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for three references – https://unmc.peopleadmin.com/postings/95260 . Required Qualifications: Ph.D. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Computer Science, Applied
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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environments. Programming skills in Python or R and experience with Git. Evidence of research productivity through peer reviewed publications. Schedule and Travel Schedule is Monday through Friday during normal
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Qualifications: • Experience creating customized MRI acquisition methods • Experience in quantitative MRI techniques • Programming skills in MATLAB and Python • Ability to present research effectively through both
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Science, Education, or related discipline Proficiency in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy