930 parallel-and-distributed-computing-"Multiple" positions at Pennsylvania State University
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laboratory and database administration. Experience with processing data from massively parallel DNA sequencers, computation on high performance compute clusters, using open source database management systems
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multiple schedules, provide clear and open commhttps://www.opp.psu.edu/unications, and share knowledge with others, as needed. This position offers a flexible work arrangement that combines remote and on
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. POSITION SPECIFICS The School of Electrical Engineering and Computer Science (EECS) is seeking an Administrative Assistant—Senior Support to support the Department Head in the Department of Electrical
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, and data display. Hands-on work in a laboratory environment Use of multiple computing languages, analysis tools, simulations and measurements Networking with program sponsors Students studying
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and performs, administers, or delegates such activities as major program plans (i.e., collective bargaining, safety, customer service, emergency preparedness, etc.), providing continuous analysis
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, collaborative relationships with multiple University functional offices and stakeholders. Customer Support: Provide advanced customer service and functional support to end users in areas related to Student
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Keep accurate records of incoming and outgoing food and other key program metrics Complete various other projects that help to develop and sustain the Lion’s Pantry Qualifications: Must meet all Penn
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Be knowledgeable about daily menus and recipe ingredients Ensure correct portion size is distributed Move food to and from serving counter and food bars as required Replenish and rotate stock in
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opportunity will be working up to 25 hours per week. Job Duties Providing individual and group academic advising to students. Assisting students in navigating University policies, procedures, and program
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Specialist to join our innovative team. The Research Data Management Specialist will: Manage multiple datasets and corresponding documentation, visualize data, and work closely with the analytic team