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outstanding candidates whose research is centered on the mathematical modeling, analysis, numerical solution and simulation of physical, engineering, or complex systems. The position is particularly suited
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Posting Description POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering, will carry out research to develop methods to estimate the economic and environmental impact of pavements and
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couplers, and packaging interfaces using commercial photonic design tools. Perform optical simulations and tolerance analyses to optimize coupling efficiency, bandwidth, alignment tolerance, and packaging
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optimization using tools such as Lumerical FDTD, or equivalent simulation platforms. • Analyze device physics and process–performance relationships, collaborate with multidisciplinary research teams, and
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We are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group of the Oxford Robotics Institute and the Department of Engineering Science in central Oxford
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Postdoctoral Associate Required Qualifications (as evidenced by an attached resume): Doctoral Degree (or foreign equivalent) in Chemistry, Physics, Chemical Physics, Nanoscience and Technology, or a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Posting Information Posting Details Department Biological and Genome Sciences - 428201 Posting Open Date Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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useful for scientific interpretation. - Unix/Linux: Expertise in Unix/Linux environments, including file system management, shell scripting (Bash), and the optimization of simulations on supercomputer
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The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional
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energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system optimization models. Investigate how tabular foundation