21 computer-programmer-"FEMTO-ST"-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at University of Kentucky
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Type of Position Temporary Position Time Status Full-Time Required Education Graduate of an ACPE accredited Doctor of Pharmacy Program Required Related Experience Licensed or eligible for licensure in
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Type of Position Temporary Position Time Status Full-Time Required Education Graduate of an ACPE accredited Doctor of Pharmacy Program Required Related Experience Licensed or eligible for licensure in
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integrate into our community of collaborative biomedical researchers. Candidates will be expected to build and maintain a high quality, extramurally funded research program, contribute to our educational
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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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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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/Certification N/A Physical Requirements Sitting for long periods of time, repetitive motion related to computer work, physical activity related to lab and fieldwork; including regular standing, walking
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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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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