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preclinical datasets, including data extracted from electronic health records, using Python, R, and other relevant tools. Applies statistical and machine learning methods (e.g., descriptive statistics
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Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Research to Operations in Hydrology (CIROH; https://ciroh.ua.edu/). CIROH, headquartered at the University of Alabama (UA), consists
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sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and
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difference in a collaborative and multidisciplinary environment will be preferred. Applicants should have experience of programming in Matlab and/or Python. Experience with grant writing and fellowship
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days 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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to come. To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values . Why Work at Michigan? In addition to a career filled with purpose and opportunity
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
Health Workforce Research Center, and Behavioral Health Workforce Research Center. The Data Analyst will * Perform data cleaning and statistical analysis using SAS, Stata, R, Python, and SQL. * Perform
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. Additional Considerations Experience in education, instructional design, or workforce development; programming experience (Python, JavaScript, or similar); experience building AI applications or automations
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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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., proficiency in R, Python, ArcGIS) • Knowledge of forest and peatland biodiversity • Fluency in written and spoken English If you are proactive, committed, and efficient, you might be the ideal candidate. You