288 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Kansas Medical Center in United States
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assignments. Guide students in various clinical care areas, including hospitals, clinics, and other healthcare settings. Collaborate with department faculty to ensure alignment with program objectives. Foster
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hospitals, clinics, and other healthcare settings. Collaborate with department faculty to ensure alignment with program objectives. Foster critical thinking, analytical skills, communication, and problem
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various clinical care areas, including hospitals, clinics, and other healthcare settings. Collaborate with department faculty to ensure alignment with program objectives. Foster critical thinking
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assignments. Guide students in various clinical care areas, including hospitals, clinics, and other healthcare settings. Collaborate with department faculty to ensure alignment with program objectives. Foster
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Evergreen posting that continually accepts applications for numerous open positions within Internal Medicine. COMPREHENSIVE BENEFITS PACKAGE: Health, dental, vision, employer paid life, LTD, flexible benefits
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behind scrubber Skills: Cleaning, sanitizing, vacuuming, extracting carpets, high speed buffing, dusting, cleaning windows and walls, detail work. Knowledge of the materials, methods, and practices used in
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. Work closely with the Research Institute and Human Research Protection Program and have a working knowledge of KUMC policies and procedures. Attend continuing education, research, and training seminars
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to make repairs to electrical, plumbing, and HVAC systems. Plan and lay out work, determine accurate and efficient methods, diagnose and correct complications to maximize efficiency. Analyze controls issues
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other duties as assigned by Laboratory Animal Resources (LAR) management, including veterinarians. This position needs to possess basic computer skills, be able to follow written and verbal instructions
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activities may change at any time with or without notice. Required Qualifications Education: MD or equivalent doctoral degree. Work Experience: Experience in principal and advanced statistical methods