112 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" positions at Duke University
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for interdisciplinary research and career development. Job candidates must… · Hold a Bachelor’s, Master’s, or PhD in Engineering, Physics, Math or Computer Science, or other Bachelor's plus equivalent relevant
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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Preprocessing · Feature Engineering · Algorithm Optimization · Model Validation and Testing · Real-Time Deployment Readiness · Collaborate with Clinical and Epidemiological Teams
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Health Access Services This position will be responsible for performing essential tasks required for the creation and revision of Epic scheduling decision trees (algorithms) and for leading other Maestro
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care and/or survivorship. Follow guidelines and provider template processes by using scheduling algorithms/decision trees to schedule appointments. Apply knowledge of scheduling policies and procedures
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utilization of resources to optimize care Participates in developing guidelines, algorithms, and care pathways to improve the care and safety of patients Participates in efforts to maintain TJC accreditation
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directly with the PI on applying interdisciplinary neuroscience and electrophysiology techniques toward studying the nervous system of the heart. Qualifications: Education 5 years or less from a PhD or MD
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regarding the use of lasers, chemicals, infectious agents, animals, and human subjects, as needed. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without
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projects currently under grant support. Required Qualifications at this Level Education/Training PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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or labs, following approved scheduling algorithms. Training Assist the Service Access Manager(s) and Team Lead(s) with training new staff during the initial onboarding phase as needed. Provide insight