21 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at University of Kentucky
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. Department of Biomedical Engineering at the University of Kentucky has an opening for a postdoctoral scholar research position. The prospective candidate will be expected to contribute to our research program
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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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an outstanding research program in the field of flexible organic electronics, including sensing, bioelectronics, and organic semiconductor development. The Organic Materials and Devices (OMD) group seeks one
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Posting Details Posting Details Job Title Post-doctoral Scholar Requisition Number DU14368 Department Name 7H045: Barnstable Brown Diabetes Center Work Location Lexington, KY Salary Range Commensurate with experience Type of Position Student Position Time Status Full-Time Required...
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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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. Technical Proficiency: Skilled in laboratory or clinical research techniques depending on the research focus. Data Analysis: Proficiency with statistical and computational tools for quantitative and
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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