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. Our clinics work closely with residents acquiring their OMS certification and the school’s General Practice program, giving students unique learning experiences like extractions, implant placements, and
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means, building a strong portfolio of scientific work. You should have advanced experience in epidemiological and demographic modelling, statistical analysis, and machine learning methods. You thrive in a
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managing projects. Experience supervising staff or students. Demonstrated interest in assessing and implementing innovative technological solutions, including machine learning and AI, to optimize metadata
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to deliver equitable healthcare in an environment that celebrates diversity – please provide a one-paragraph statement addressing either 1) experiences with diversity in training, professional/military work
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, professional/military work, previous teaching, and service, or 2) potential to foster more equitable healthcare delivery in the Division of Metabolism, Endocrinology and Nutrition. 3. Curriculum vitae
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, residents, students, and academic leadership to support a high-quality learning environment. Represent the department on institutional committees and in external professional organizations. Communicate
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, Instruction Manuals, Learning Techniques, Oral Communications, Planning Activities, Polishing Machines, Professional Cleaning, Professional Integrity, Quality Performance, Reading Instruction, Safety Measures
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-source scientific software where applicable. Stay abreast of developments in AI, machine learning, and biomedical applications. Develop foundational AI models with semantic reasoning, knowledge integration
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: Accounting, Adobe Acrobat, Analytical Thinking, Computerized Accounting, Computer Literacy, Deadline Management, Grant Administration, IBM Cognos Analytics, Interpersonal Communication, Learning New
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student assessment instruments Delivers course instruction including lecturing and facilitation of other learning activities including facilitation of small group discussion, workshops, and simulation