145 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" uni jobs at Saint Louis University
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: Privacy, Ethics, Regulation & Policy Introduction to Artificial Intelligence Predictive Modeling and Machine Learning Image Processing and Deep Learning Bioinformatics & Biomedical / Clinical Data Analysis
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, Jesuit institution, dedicated to student learning, research, service and healthcare, is seeking applicants for a full-time position in the Department of Health Science at the Madrid campus to begin in
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hands-on anatomical demonstrations and distant learning educational programs as part of the Adventure in Medicine and Science (AIMS) community outreach program; oversees specimen acquisition, transport
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research skills Ability to operate personal computer with various software programs Ability to learn and apply institutional policies and procedures Ability to maintain schedules Ability to demonstrate self
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on financial activity and evaluates financial performance of the clinic; assists with departmental budget and projection preparation. This is an onsite position located on the School of Medicine Campus in St
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HCPCS ·Knowledge of EPIC ·Intermediate Excel skills ·Ability to efficiently operate computer software for Electronic Health Record and Practice Management Systems ·Ability to evaluate system edits
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learning experiences and compliance with program requirements Serve as liaison between the academic program and clinical sites Monitor student clinical assignments and make adjustments as needed to optimize
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Strong attention to accuracy and detail Advance Microsoft Office support tools and spreadsheet software Teamwork and collaboration skills Dedicated to self-directed growth, development, and active learning
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leadership to student staff, program development, facility and equipment management, compliance with St. Louis City health codes, industry laws, regulations, and standards governing swimming pools, risk
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, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed