71 phd-position-data-mining Postdoctoral positions at Duke University in Ireland-University-Ranking-2024
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, an interdisciplinary research community. Additional Information: The initial review of applications will begin approximately October 5, 2026 and continue on a rolling basis until the position is filled. In
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Nursing (MSN), Doctor of Nursing Practice (DNP), and PhD in Nursing. Our programs are designed to meet the evolving demands of today’s healthcare landscape, equipping graduates with rigorous training
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Position Description A postdoctoral associate is needed to assist an NIH funded research project investigating impacts of brominated flame retardant exposure on placental thyroid hormone regulation
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engineering, and data science, you will contribute to high-impact translational studies integrated within innovative clinical trials. This position is fully grant funded and offers exceptional opportunities
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, and innovation. Application Materials Required: Current Curriculum Vitae (CV) Research Statement Contact information for 3-5 professional references At Duke, you'll find more than a research position
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the molecular and cellular mechanisms of vision and retinal disease. This position offers an exciting opportunity to contribute to innovative research focused on the development and maintenance of the light
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. Create scalable approaches to measure shared visual attention, caregiver positioning, speech, and dyadic engagement using video, audio, pose, and object information. Design, implement, and evaluate
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to Leah Goldsmith [email protected]: · An email that includes a description of your background, fit, and why you are interested in this position, and contact information for at least two references
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(publications). Ability to work independently; interpret, present, and discuss experimental data. Excellent communications skills. Other Requirements: This position is onsite. The work is performed on-site
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Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high-dimensional data, prediction