1,532 parallel-and-distributed-computing-"UNIS" positions at Pennsylvania State University
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REQUIREMENTS Penn State Abington is searching for up to eight (8) part-time STEM Academy Teaching Assistants for an in-person math and science based high school program at a community organization in Northeast
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or computational materials science A minimum of 2 years of post-PhD research experience Strong track record in scientific contributions supported by peer-reviewed publications Strong communication and interpersonal
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key inventory and records Deliver items, such as paper, keys, etc., as requested Assist Trades as requested Assist in reorganization of computer shared folders The successful candidate will work up to
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organizations, and other members of the campus community. Job Responsibilities: Supervise a team of peer success coaches including training, monitoring, documenting, and assessing performance and program impact
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or advanced degree in Security, Risk Management/Analysis, Criminal Justice, Military Science, or Business Administration National Industrial Security Program Operating Manual (NISPOM), specifically
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
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. Requirements and Qualifications Preferred Qualifications: Experience in starting a business and with program coordination. Strong communication, problem-solving, organizational, and computer skills. Strong
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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 merchandiser displays and on
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disposals, as required Assist in unloading and distributing incoming supplies and taking inventory Maintain work areas in a clean and orderly condition Make minor adjustments such as tightening screws
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and implementing computational methods for integrating, analyzing, and visualizing molecular and cellular biology data; wrangling, harmonizing, and standardizing biological datasets; implementing