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Position Description An Associate in Research position is available in the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in
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Occ Summary As part of the Facilities Management Department, Duke Utilities and Engineering Services (DUES) provides the utility services to the Duke University Campus and Medical Center including
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nature of Duke-Margolis brings together policy experts, researchers, health care professionals, and students from across Duke’s schools of medicine, nursing, law, public policy, business, and engineering
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engineering, and fosters extensive relationships with stakeholders both internal and external. These relationships span foundations, private sector organizations, state and federal governments, and global
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. Positions range from helpdesk support to programmer. Classification established to permit compensation to employees performing various duties under the jurisdiction of Duke Temporary Services. Incumbents
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Proficiency in computer systems and latest office technology Practical and extensive experience will be considered in lieu of a degree Or an equivalent combination of relevant education and/or experience
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equivalents: 1. Completion of an allied health degree (e.g., Respiratory Therapy, Radiologic Technology, Licensed Practical Nurse) or associate’s degree in clinical Trials Research related curriculum plus a
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the benefits of a broad-based liberal arts and science and engineering education. Other Requirements Position requires weekends and extended hours during peak seasons (fall and January–April). Travel 2–4 weeks
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or take on special projects as needed Sharp stakeholder focus (in this case, the current or prospective employer and the MQM student). Must be comfortable in a technology-enabled environment. Capacity
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engineering, and fosters extensive relationships with stakeholders both internal and external. These relationships span foundations, private sector organizations, state and federal governments, and global