382 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Pittsburgh
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to assess new opportunities 5. Monitor and assess emerging technologies, such as artificial intelligence (AI) and machine learning, to identify opportunities to improve work efficiency and/or enhance
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to the success of a growing multicenter comparative-effectiveness research network known as the PRECEDENT Network (https://www.precedentnetwork.com/). The candidate will have the opportunity to collaborate and
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and extra-institutional levels Evidence of leadership within the applicant’s subfield To Apply To learn more about the position and to apply, visit: https://cfopitt.taleo.net/careersection
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can inquire about potential opportunities available in the Department of Pediatrics by applying to requisition number #25006178 on Pitt Talent Center by visiting https://www.join.pitt.edu/ See appended
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can inquire about potential opportunities available in the Department of Pediatrics by applying to requisition number #25006242 on Pitt Talent Center by visiting https://www.join.pitt.edu/ See appended
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highlighted on this website: https://www.visitpittsburgh.com/media/press-kit/pittsburgh-accolades/ . Please contact the following individual for further information: Chen Zhang, MD, PhD, Professor and Samuel A
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can inquire about potential opportunities available in the Department of Pediatrics by applying to requisition number #25006439 on Pitt Talent Center by visiting https://www.join.pitt.edu/ See appended
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, programing committees of conferences or workshops related to computer science, and departmental committees. Experience can be concurrent. Apply at https://www.join.pitt.edu , #25006611. Please upload a cover
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about potential opportunities available in the Department of Pediatrics by applying to requisition number #25006723 on the Pitt Talent Center by visiting https://www.join.pitt.edu/ See appended Job
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. The department is actively expanding its proficiency in the field of health data science, with emphasis on areas including machine learning, artificial intelligence, clinical trials, precision health, mobile