15 computer-programmer-"https:"-"https:" Postdoctoral positions at University of Kentucky in United States
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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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clinical time commitment with the remainder of time dedicated to clinical research and program development/quality activities. Research time is protected time. The position is a two-year fellowship beginning
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College Curriculum Committee meetings Attend College & University faculty development workshops/seminars Participate in College book and journal clubs Assist with the College’s tutoring program Staff
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College Curriculum Committee meetings Attend College & University faculty development workshops/seminars Participate in College book and journal clubs Assist with the College’s tutoring program Staff
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researchers focused on the Reprogramming Neuroimmune Responses after Spinal Cord Injury. The prospective candidates will be expected to contribute to our research program where they will have opportunities
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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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), to work on problems at the intersection of biology, medicine, mathematics and computation. The successful candidate will contribute to the development of next-generation learning algorithms to understand
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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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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 requiring personal
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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