273 Computer-Science "https:" "https:" "https:" "https:" "https:" positions at University of Pennsylvania
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statistical and machine-learning methods, and ensures the integrity, reproducibility, and quality of the lab's analytical work. This role requires domain expertise in biomedical informatics, AI/machine learning
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of an integrated library system. Supervising two FTE (subject to change based on funding) and overseeing the onboarding, mentoring, training and education program for 5-15 work-study Penn students working in
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personal ARC CPR/AED certifications in compliance with departmental standards. Technology, Data & Reporting: Utilize Fusion recreation management software to manage staff scheduling, program enrollment, and
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use of technology. Enhancing service offerings through upgrades and expansions of facilities. For more information on the Division of Business Services, visit: https://www.business-services.upenn.edu
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by visiting: https://www.isc.upenn.edu/about or www.linkedin.com/company/penn-information-systems-computing/ Department / School Information Systems and Computing Pay Range $71,733.00 - $82,000.00
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membership, annual giving, and leadership annual giving into a cohesive fundraising program. The position serves as the primary fundraiser for unrestricted annual giving, cultivating, soliciting, and
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Assistant, Preventive and Restorative Sciences - Penn Dental Medicine Job Profile Title Dental Assistant B Job Description Summary The Dental Assistant within Penn Dental Medicine's (PDM) Preventive and
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for this position is July 1, 2027. The salary for the position is $61,000-$65,000 and includes a comprehensive benefits package. Job Description BA/BS in Economics, Statistics, Finance, Mathematics, Computer Science
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, with fair amount of walking. Computer skills including familiarity with Microsoft Excel and Word programs. Vet Tech Sr Associate of Science and 1 to 2 years of experience or equivalent combination
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that help assess, monitor, guide, and motivate training. Organize and administer assessment procedures and protocols, as part of our applied sports science program, to collect valid and reliable data