59 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Kentucky
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statement of research interests by e-mail to: taestout@uky.edu Stipend Amount/per year $57,000/year plus benefits Website http://gluck.ca.uky.edu/ The University of Kentucky is an equal opportunity university
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learn how to lead community pharmacy-based patient care practice initiatives and to advocate and collaborate with various stakeholders to bring about change in pharmacy practice. Through real world
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tissues. Dr. Emfinger is looking to recruit Postdoctoral Scholars interested in islet biology and machine learning. The Postdoctoral scholar will have the opportunity to collect data, analyze large datasets
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interest in computational work (coursework, projects, or prior experience) and willingness to learn bioinformatics. Comfort working with computers and learning new tools quickly. Required License
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with basic laboratory techniques (e.g., pipetting, sample preparation) is a plus. Interest in metabolomics, genetics, genomics, and crop improvement. Willingness to learn new skills and work as part of a
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to 8 hours/day, lifting <30 lbs, may view computer up to 8 hours/day. Shift Generally Monday – Friday, 8a-5p with some flexibility Job Summary This position is designed to have 70% clinical time, 15
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floor to above shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials
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to 25lbs. Sitting for long periods of time at a computer. Shift 10-12 (flexible) hours per week. Job Summary Are you conversant in statistics? Are you Interested in mixed methods research, and/or
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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