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You'll Bring Required Qualifications PhD or equivalent doctoral degree (ScD, MD, DVM, or related terminal degree). Strong background in one or more of the following: Computer Vision Machine Learning
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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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. Ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses, present data, and perform other computer related tasks. Ability to multitask and work
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, Computer Science, or a related field. Candidates in ABD status (all but degree) will also be considered. If the applicant graduated within 1 year from a PhD or MD training program, no other experience is required
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research data; keep a detailed notebook summarizing experiments and recording research data; maintain computer database of research data; tabulate and display data for presentation in research conferences
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various computer programs. • A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related field. Required Application Materials: • Summary of previous
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skills; must be proficient in spoken and written English. The ability to work both independently and collaboratively is essential. Must be computer literate with proficiency and working knowledge
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Neumann Fellowships are available to distinguished mid-career mathematicians and theoretical computer scientists, 5 to 15 years from their PhD. Each position comes with a fellowship grant, and 4-6 of
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Requirements Standing or sitting up 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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
department in 1964. We believe that computer science’s greatest purpose is in working with other scientists to solve problems in their own disciplines. Therefore, we actively seek opportunities to generate new