521 parallel-computing-numerical-methods positions at Purdue University in United States
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Job Description Apply now Req Id: 34970 Job Title: Professor Clinical/Professional Assistant City: WEST LAFAYETTE Job Description: Job Summary The Department of Computer Graphics Technology (CGT
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: Bachelor’s Degree in cybersecurity or information security required An equivalent combination of education and experience may be accepted Preferred: Experience with computer networking, systems administration
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transcripts with accurate grammar, spelling, and vocabulary is essential. Entering information into a computer system with precision is highly important. The Scribe must sign a confidentiality agreement and
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to have: Advising undergraduates Experience working in an honors program or college Experience working with related student-centered areas (e.g., leadership, study abroad, research, teaching, etc
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: Job Summary We are seeking a highly motivated undergraduate student with a strong background in computer science or a related field to support an interdisciplinary research project focused on developing
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Development Program, or be enrolled in program within 90 days of hire Ability to supervise and train small (3 – 10) groups Ability to read, write and speak English; must be able to communicate effectively with
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, mowers, etc.) required. Knowledge of insect/disease control, proper nutrition, growth habits and pruning methods for annual flowers, and ornamental trees and shrubs required. Knowledge of growth habits
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entry training, or be enrolled in program within 90 days of hire Must be able to functionally supervise and train moderate sized (12 – 18) groups Ability to read, write and speak English is required; must
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procedures • Communicate changes and program developments to staff, participants, players, and professional staff Ways of Thinking (Systems Thinking & Planning, Reflective & Analytical Reasoning, Idea
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computer science, statistics, and mathematics, to improve patients' experiences, outcomes, and population health. Purdue’s legacy of excellence in data-driven research is foundational to our work at RCHE. By uniting