2,298 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" uni jobs at Duke University
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their cancer data to the State Department of Health's Central Cancer Registry monthly. In addition, the Duke Cancer Institute is an accredited NCI- Designated Comprehensive Cancer Center Program established by
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vital part of a collaborative, interdisciplinary team that supports students, faculty, and partners across the Information Initiative as they pursue innovative work in data science and interdisciplinary
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data‑driven decision‑making across the School of Medicine by turning complex needs into clear, actionable insights. Be You. The Senior Business Systems Analyst will play a critical role in supporting
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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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vital part of a collaborative, interdisciplinary team that supports students, faculty, and partners across the Information Initiative as they pursue innovative work in data science and interdisciplinary
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Biomedical Engineering, Electrical Engineering, and Mechanical Engineering. Please visit our Lab Website for more information at https://photoacoustics.pratt.duke.edu/ . Candidates can contact Dr. Yao
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located in Durham, NC. This is not a remote position. Duke Health Development and Alumni Affairs is seeking a Annual Giving Data Analytics Specialist to advance the strategic use of data in philanthropic
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physics course sequences are described here: https://physics.duke.edu/undergraduate/course-selection/introductory-physics-course Introductory physics is usually taught by a team of instructors and teaching
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their materials electronically at https://academicjobsonline.org/ajo/jobs/31736 The deadline for applications is March 6, 2026. Duke is an Equal Opportunity Employer committed to providing employment opportunity
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emphasis on active learning approaches to guide experimental design cycles. In addition, we are developing deep learning models that map genetic information of microbial species to their functional