629 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at The University of Arizona
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. Ability to work in a fast-paced stressful environment. Knowledge of basic math and computer skills. Knowledge of food and beverage preparations, service standards, guest relations, and etiquette. Knowledge
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sensitive information. Skill in public speaking and presenting information to large groups. Ability to manage complex customer situations with tact and discretion. Computer literate and proficient in
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exams Assign projects Minimum Qualifications PhD in related subjects relevant to class assignment. Preferred Qualifications Rank Assistant Professor Tenure Information Career-Track (CT) FLSA Exempt Full
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. This position supports online and in-person orientation programs, attends relevant program, college, and campus meetings, coordinates selected events, and participates in program planning. This position works
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few examples): Participates in personnel planning during program development stage; after program launches, runs regular personnel cost reports and meets with program director to help manage staffing
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records to determine whether applicants meet federal, state, and institutional eligibility requirements. This role requires strong critical thinking skills, the ability to work on a computer for extended
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Position Highlights This position will manage and increase the impact of the Tribal Extension Program on Arizona Indian Reservations. This position will provide expertise and cultural knowledge, and is
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teams Minimum Qualifications Doctorate degree such as PhD or MD in biochemistry, molecular biology, immunology or related field is required. Preferred Qualifications Expertise in immunology or prior
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Greater Phoenix Area Address 475 N 5th Street, Phoenix, AZ 85004 USA Position Highlights Based on the growth and complexity of research computing at the College of Medicine-Phoenix the addition of a
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-Phoenix + Location Greater Phoenix Area Address 475 N 5th Street, Phoenix, AZ 85004 USA Position Highlights Based on the growth and complexity of research computing at the College of Medicine-Phoenix