529 engineering-computation-"https:" "https:" "https:" "https:" Postdoctoral positions in United States
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related to the research program. 10% - Mentor undergraduate and graduate students. Additional information about the project can be found at https://nsfepscor.ku.edu/arise-researchers/ . Additional
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and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and Climate Fluid Mechanics Lasers and Applied Physics Materials and Mechanical Systems Robotics Princeton
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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: Leveraging big data and computational methods to analyze adaptation behaviors and incorporate its costs and benefits into climate impact assessments. • Adaptation of Places: Partnering with natural scientists
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sustainable solutions to improve the movement of people, data and goods through research, education and technology transfer. Our Work Environment Entrepreneurial culture Affiliation with Texas A&M University
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of Standards and Technology (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects
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Cornell University, School of Civil & Environmental Engineering Position ID: Cornell-CEE-POSTDOC [#31542, _Galelli] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York
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fast-paced, highly collaborative, deadline-oriented research environment Ability to multi-task and work cooperatively with others Superb communication and record-keeping skills Experience with computers
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interdisciplinary research program. Our lab investigates how bacteria and human mitochondria maintain homeostasis and respond to stress and environmental challenges. A central focus of our research is uncovering
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Agriculture (CEA) Engineering Lab as a Postdoctoral Research Associate. The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation, and/or robotics