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opportunities for learning new skills to support research Teaching and Training Support (Student and Research-facing) Instruct and train laboratory users on machine shop tools and laboratory testing equipment
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student research worker to support AI and machine learning research in cardiovascular health informatics. The position involves working with both structured and unstructured electronic health records (EHR
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the departmental undergraduate and graduate programs. Candidates with expertise in machine learning, big data, mathematical finance and probability theory are particularly encouraged to apply. The department expects
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detailed documentation. • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.). • Perform statistical analysis, including regression analysis and machine learning techniques
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The incumbent may be called upon to perform patrol duty on foot, in an automobile or on bicycle. As such, the applicant may be required to pass a physical fitness job standards test. The Sergeant, working on a
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or on a computer and to write and maintain experimental protocols Bachelor's degree in biology, chemistry, physics, math, engineering, bioinformatics, computer science or a related field. Experience with
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instrumentation, quality control/assurance, maintenance and troubleshooting of instruments, enforcing regulatory compliance, computer-related duties, and training of residents and new personnel. Schedule
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math, biomedical engineering, physics, or related discipline. Proficiency in programming and data science tools (Python, R, C++, or equivalent). Strong statistical and machine learning background, with
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of Engineering and Applied Science (SEAS). This position is primarily responsible for the operation of and instruction within the mechanical engineering teaching laboratory?s machine shop. Reporting to the Manager
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community events. Scheduling/Visits Each staff associate will be responsible for planning the visit including arranging individual travel (if applicable - rental car, flight, hotel) preparing and mailing pre