477 computional-geometry-algorithm positions at University of Pennsylvania in United States
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for product or material formulation and development. Daily management of laboratory tool, documentations, and processes to ensure regulatory compliance and timely completion of project/program deliverables
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: Master of Science and 3 to 5 years of experience or equivalent combination of education and experience is required. Candidates should have a degree in physics, computer science, engineering or a related
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responsibilities include the development and oversight of a program foscused on prospect development, data analysis. proactive prospect identification, and strategic prospect portfolio reviews for a team of
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audiences to support key and impactful reporting. Collaborate with academic program and departments to help support the development of clear stewardship materials that reflect unique donor expectations in
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maintaining the university’s ADIT report to ensure accurate transfer of admissions and enrollment data to Penn’s data warehouse, as well as producing ad-hoc analyses for senior leadership, program staff, and
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reporting of gifts. Produce acknowledgements to donors for Penn Medicine. Produce Notice-of-Contribution correspondence generated by donations made to the Development program. Handle the responsibilities
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. Serve as Remote Campus backup to DS Admin coordinator as liaison with Perelman School of Medicine Information Services LSP on all Distribution Services computing issues. Must be physically able
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place to call home for work and play. Posted Job Title Part-Time Project Manager B (Epidemiology Division) Job Profile Title Job Description Summary The Pulmonary Vascular Disease Program is seeking a
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well as Microsoft Office suite of computer products preferred. Knowledge of Event Reservation systems such (Momentous, 25 Live, EMS) Must pay strict attention to detail. Background check required. Application
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, experimental psychology, and computer science preferred). Data management, cleaning, and analysis skills (understanding data structures and types, cleaning, wrangling/reshaping, merging, working with missing