319 computional-geometry-algorithm positions at University of Virginia in United States
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emphasis on unit, integration, and end-to-end testing. Minimum Education and Experience Education: Bachelor's degree in Computer Science, MIS, Computer Engineering, or related discipline. Experience: At
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experimental and computational angles. The candidate will have opportunities to drive his/her own research project(s), develop fellowship applications, write manuscripts, mentor junior trainees, and learn skills
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interpersonal skills. PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs
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use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. The University of Virginia is an equal opportunity employer. All interested persons
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Administrative Support : Assist with the management of the master recruiting calendar, ensuring alignment with academic and program schedules. Support the Career Center facilities, ensuring supplies are available
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. Licensure: May hold CPA or other advanced financial certification. PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling
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DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. Hybrid modality
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Trainer preferred. PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs
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sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. The University of Virginia is an equal opportunity
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research program developing training models for explainable AI inference. This research associate would be expected to build, execute and analyze large suites of galaxy formation simulations using varied