66 computer-science-image-processing-"Faculty-of-Engineering" Postdoctoral positions at Duke University
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKESONG1 [#29728] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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, United States of America [map ] Subject Areas: Chemistry / Bioinformatics , Chemical biology , Computational Appl Deadline: 2025/09/15 11:59PM ** Position Description: Apply Position Description Job Opening: Postdoctoral
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, United States of America [map ] Subject Areas: Computer Science Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Appl Deadline: none (posted 2025/08
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structures. 3) Characterize the dynamics, mechanism, and pathway of self-assembly process and the structural and mechanical properties of the obtained assemblies 4) Compare the computed properties against
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. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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applications for postdoctoral positions in the area of cosmology (experimental, observational and theoretical) and new techniques in statistical and image analysis. The cosmology group is composed of Profs. Arun
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circuits that regulate motivational and emotional states. The lab uses many state-of-the-art techniques, including deep-brain calcium imaging (2-photon in vivo microscopy) with single-cell resolution and
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control