86 parallel-processing-bioinformatics positions at The University of Memphis in United States
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manages office supplies and fulfill supply requests for faculty. Coordinates travel-related services, including booking travel and accommodations, and processing pre-authorizations and reimbursements
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not limited to are impact of technology on traffic safety and operations. Experience in operation research and advanced statistical modeling will be preferred. Outstanding candidates with expertise in
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college staff to attain student project sponsorship. Develop and maintain policies and processes to guide technicians in laboratory upkeep. Plan for equipment upgrades and maintenance. Assist with relevant
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pm to 5:00 am. Hours will vary and shifts will rotate based on needs with a maximum of 32 hours each week. This position is required to report to the designated work location to ensure the operation of
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training; assisting students at the College; developing standard operation procedures to mitigate student academic and non-academic concerns; and, reviewing requests for late/retroactive withdrawals, grade
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service excellence. Strong interpersonal, organizational, and managerial skills. Proficient in all standard computer applications, including Microsoft Word, Excel and PowerPoint. Ability to establish and
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/week) - Schedule: Tuesday through Friday - Hourly compensation based on experience Key Responsibilities Working within our collaborative clinical environment, you will: - Assess, diagnose, and treat
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respect in the classroom. Other responsibilities include course assessment, assisting the department with the accreditation process, academic advising, and admission interviews as assigned or required
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nutrition therapy, as needed, to help manage or treat medical conditions. Advise student-athletes on optimal nutrition for recovery from illness or injury in collaboration with sports medicine staff
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hydrologic connectivity metrics. Furthermore, the qualified candidate must possess advanced skills in geocoding, GIS, raster analysis/processing, and the management of large geospatial datasets. Familiarity