71 assistant-professor-and-data-visualization Postdoctoral positions at Duke University
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to the seminar’s principal investigators: Professor Charlotte Sussman (charlotte.sussman@duke.edu) and Professor James Mulholland (mulholland@ncsu.edu ). Duke is committed to encouraging and sustaining work and
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2026/05/31) Position Description: Apply Position Description Postdoctoral Research Associate in Climate Economics and Urban Resilience The lab of Yichun Fan, Assistant Professor of Climate Economics at
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environments is necessary. Experience with data cleansing, wrangling, visualization, modelling, and interpretation is necessary. Previous experience in data science is highly desired. Previous experience in
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candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization of the mass spectrometry-based proteomic data generated in our
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Bold. Position Description: Perform a variety of technical duties involved in conducting behavioral medicine research studies; Assist with development of study intervention protocols and materials
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one other course as desired, (2) work closely with the Professor on his ROCKWOOL-funded research projects on the intergenerational transmission of social marginalization and the intimate partner
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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F. Korstian Distinguished Professor of Forest Economics and Management in Duke’s Nicholas School of the Environment, is hiring a full-time postdoctoral associate to collaborate with him on research
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progression and therapeutic response. You will be responsible for all aspects of the research: design of experiments, execution, analysis and reporting of data with guidance and mentoring from me at all stages
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Program, and the field site in Kenya, and engage with investigators at all sites across various disciplines. The project will focus on conceptualizing, innovating, and implementing data-driven approaches