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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_MGORLA [#31868] Position Title: Position Type: Postdoctoral Position Location
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Associate in Research The role involves developing and optimizing machine learning models to predict infectious diseases using multimodal health data. Responsibilities include analyzing correlations between
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includes syllabi, sample teaching materials, and student evaluations 4. Names and contact information for three referees (The search committee will request recommendation letters during a later stage of the
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Assistance (Eligibility rules apply) Shift Information Fulltime, three 12-hour shifts Day shift 7a-7p General Description of this Role Independently plan and provide professional nursing care for patients in
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communication and collaboration skills Ability to remain organized, focused, and adaptable in a high-acuity environment Competency with computer systems and electronic documentation Ability to meet physical
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, focused, and adaptable in a high-acuity environment Competency with computer systems and electronic documentation Ability to meet physical requirements, including prolonged standing and walking Working
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to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual
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analytics teams, DHAS, PRMO and Finance teams across DUHS. Compiles standard data reports on a monthly, quarterly, and annual basis for each disease-based program. Leads report outs and action items
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compliance issues. Collects, process and interpret program data to support both medical coverage and administrative support. Has knowledge of industry standards. Serve as principle investigator for research
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of clinic/department resources. Maintain interface with physicians, patients and administrative staff to provide information and to resolve problems relating to clinic services. Collect and analyze data