75 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Duke University in United States
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600,000 people visit the Gardens annually. The Learning and Community Engagement team offers a broad range of ways to engage visitors and program audiences in garden-inspired learning. The Learning and
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integrating analog and digital hardware with computer software. Strong analytical and problem-solving skills. Other Requirements: Ability to provide engineering assistance and consultation to faculty and
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, policies, and systems to ensure data security and provenance. In addition, recognizes and reports security of physical and electronic data vulnerabilities. Learns and uses new technology when required
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, technical, and research teams. Your work will help build scalable technology solutions that drive meaningful change within Duke clinical enterprise. Be You. This position will interface with care providers
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departmental policies and procedures, including the Dining EATS program, HACCAP and Dining sustainability plan. Staff Supervision and Management- 35% of Effort Regularly manage activities of assigned personnel
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Engineering, Applied Mathematics, Computational Science, or a related field. Experience: Demonstrated experience in environmental modeling, numerical simulation (ODE/PDE), or computational chemistry
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; employee benefits/HR experience preferred. Technical Skills: Proficiency in computer software and electronic technology. Core Competencies: Strong communication, analytical, and organizational skills
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. · Excellent communication skills and ability to collaborate across diverse scientific backgrounds. · M.S., M.E. or Ph.D. in computational biology, engineering, physics, applied mathematics
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COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE. Strongly Preferred Experiences: Thorough understanding of various engineering disciplines, including biomedical, mechanical, electrical, civil, computer, etc
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laundering. For more information about the QFC program in MIDS at Duke University, please see https://datascience.duke.edu/academics/electives/quantitative-finance/ Applications can be submitted online