922 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"ST" positions at University of Pennsylvania
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benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Research
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benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Communications
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benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Research
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benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Associate
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Job Profile Title Job Description Summary The Data Scientist will lead and support advanced computational biology and biomedical informatics research, working in close partnership with principal
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., for the Department Chair, Postdoc and Pre-doctoral directors, and other faculty as needed. Manage complex calendar management and scheduling for the Department Chair, Program Directors and other faculty as needed
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to English Language Arts, Math and Science. Teacher-Partners implement academic remediation, fun, educational, problem-solving learning activities in STEM, arts, literacy and career exploration areas; participate in
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(EIR) program, Venture Initiation Program (VIP) instructors, and VIP’s communities of practice. This work will connect Penn student founders to our alumni leaders and experts to receive practical
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oversees the Department of City and Regional Planning (CPLN) and the Master of Urban Spatial Analytics (MUSA) Program events and programming, and any administrative support associated with
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Biology, Computer Science, Genetics, or a related field preferred. Proficiency in programming and scripting languages, such as Python and R. Solid experience with standard bioinformatics tools and software