70 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Duke University in United States
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Duke University, Office of the Dean, Pratt School of Engineering Position ID: Duke -FacultyResearchMento -POSTDOCSALAHSHOOR [#30318] Position Title: Position Type: Postdoctoral Position Location
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, and Alzheimer's research. Qualifications: · Ph.D. in Computer Science, Biostatistics, Bioinformatics, Biomedical Engineering, or a related field · Expertise in deep learning and its
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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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Computer Science and Electrical and Computer Engineering departments, and the School of Medicine. The group emphasizes collaborative and multidisciplinary work and brings together expertise from machine learning
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-of-the-art IT infrastructure. Ideal candidates should hold a PhD in the area of Computer Science or Electrical and Computer Engineering and have strong programming skills including Python. Past work in
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKECHORYPOSTDOC2 [#30149] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map
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to mentor students, teach/train other researchers in LCA tools, and develop independent research projects as desired. The successful applicant will possess a PhD in chemical engineering, chemistry
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Minimum Qualifications The candidate should have a Ph.D. in chemical engineering, mechanical engineering, chemistry, physics, or materials science with a computational modeling focus. Experience 0+ years
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKEVODINH [#30206] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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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