110 engineering-computation-"https:" "https:" "https:" "https:" positions at Duke University in United States
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Program Research Data Tech II, you’ll be a vital part of a collaborative, interdisciplinary team that supports groundbreaking work in AI, semiconductors, and deep technologies. Be Bold. The Deep Tech
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, Engineering, Biosciences, Radiological Sciences, or related field with certification from a CAMPEP certified program for therapeutic medical physics. Experience Successful completion of two year clinical
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the research program. • Guide teams in preparing datasets for repository submission and ensuring FAIR data principles are applied. Science & Protocol Development • Independently draft grant applications, study
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. • Experience in admissions, recruiting, advising, or counseling, demonstrating your ability to assess talent and build trust. • Confidence using technology, CRM systems, and virtual engagement tools to enhance
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: Leveraging big data and computational methods to analyze adaptation behaviors and incorporate its costs and benefits into climate impact assessments. • Adaptation of Places: Partnering with natural scientists
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EDCs, EHR, mobile apps, etc.). May train or oversee others. Innovatively uses technology to enhance a research process. May train others. Prepares tables, data visualizations, and lay summaries
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to learn new technology to improve program efficiency. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender
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training. Monitors adherence, identifies and resolves technical issues, and collaborates with engineering, data science, and clinical teams as needed. Supports regulatory activities (IRB, FDA, agreements) in
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Duke University, Civil and Environmental Engineering Position ID: Duke-Civil and Environmental Engineering-PDA_KATUL [#31479] Position Title: Position Location: Durham, North Carolina 27708
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal