193 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oklahoma
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Affairs and will work with students, staff, faculty, and administration to coordinate schedules, spaces, supplies, and support experiential learning. This role will support curriculum and accreditation
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. Learn more about the Health Promotion Research Center here. Duties: THIS IS NOT A BIOMEDICAL/BENCH SCIENCE LAB POSITION. Participates in clinical research projects collecting data from patients and/or
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that integrate business rules and requirements. Creates machine learning models. Communicates and meets with engineers, IT teams, and other interested parties. Share complex ideas verbally and visually in
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vivo. We have also set our sights on understanding how omics data from human patients cross-references across model systems including mice, rat, and organoids using deep learning approaches. Responsible
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accounting, financial analysis, payroll, project coordination, personnel and administrative coordination, and event planning. Learn more about the Health Promotion Research Center (HPRC) here. Duties: Manages
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systems biology with knowledge in machine learning tools preferred Knowledge of database design and maintenance Excellent communication and presentation skills Ability to manage multiple projects
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prolonged periods. Communicate effectively and listen. Use of a computer. Manual dexterity. Environmental: Standard Office Environment Knowledge, Skills & Abilities: Advanced organization and communication
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of workers engaged in clinical oncology research projects to ensure compliance with protocols and overall clinical objectives, evaluates and analyzes clinical data. To learn more about SCC’s Clinical Trials
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Skills: Ability to understand and learn how to use industrial dish washing machines Ability to understand health department regulations Ability to organize and prioritize work Able to handle varying
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requirements Creates machine learning models Communicates and meets with teams and interested parties Shares complex ideas verbally and visually in an understandable manner with non-technical stakeholders