463 postdoc-parallel-computing positions at University of Pittsburgh in United States
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Professor level should have 6 - 9 years of experience and require evidence of significant educational or new clinical program development and/or a record of substantial clinical, translational, or basic
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, implementation of program policies, research supervision, scholarly activities, and service. Research opportunities are available in Artificial Intelligence, Digital Dentistry, Advanced Technology, and Health
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and user instructions kept up to date on a monthly basis. Job Summary Diagnose and resolves moderately complex computing issues and provides advanced technical support. Configures end user devices
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2nd (tie) by US News & World Report for our Nurse Anesthesia DNP program, 4th (tie) for our Bachelor of Science in Nursing program, and 5th (tie) for our Psychiatric Mental Health Nurse Practitioner DNP
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Ruth Crawford Mitchell Fellow Nationality Rooms Program - Pennsylvania-Pittsburgh - (25003986) The Nationality Rooms and Intercultural Exchange Programs are seeking a qualified researcher from the
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of Anesthesiology from an accredited program Eligible for an unrestricted Pennsylvania medical license Board-eligible or Board-certified Completion of accredited residency and fellowship specialty training
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Faculty Professor Assistant - Full-Time Electrical and Computer Engineering - Pennsylvania-Pittsburgh - (25000097) Assistant Professor Electrical and Computer Engineering University of Pittsburgh
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Faculty Professor - Full-Time Electrical and Computer Engineering - Pennsylvania-Pittsburgh - (25000093) Electrical and Computer Engineering University of Pittsburgh The Department of Electrical and
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, and logistical management skills, and music arranging, and/or drill writing skills. Physical Effort Computer work, ability to travel, and attend meetings on and off campus. Required to be mobile
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. The faculty member may also develop new courses and update existing ones to meet evolving program needs. Proficiency in machine learning, data visualization, data mining, and text mining is highly valued