408 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Pittsburgh in United States
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applications will begin immediately and continue until the completion of the search process. Inquiries, nominations, referrals, and CVs with cover letters should be sent via the Isaacson, Miller website: https
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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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, please visit http://www.pitt.edu/about . · Research statement · List of at least three professional references. The University of Pittsburgh is an equal opportunity employer / disability
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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