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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
environmental quality (IEQ) as key dimensions of infrastructure performance. This research forms part of a broader effort to design smart, adaptive, and resilient Infrastructure Management Systems that leverage
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
evaluation, and predictive maintenance. The work also address user comfort and indoor environmental quality (IEQ) as key dimensions of infrastructure performance. This research forms part of a broader effort
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projects as part of training for an independent research career. Candidates must hold a Ph.D. in Psychology, Neuroscience, or a related field. A strong background in functional neuroimaging with experience
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include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description As part of the Electrical Engineering program of the Engineering Division and the Center
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; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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Description NYUAD Experimental High Energy Physics group is searching for a post-doctoral associate to join the planned group's efforts to be involved in the ATLAS experiment as part of the UAE
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group's efforts to be involved in the ATLAS experiment as part of the UAE-ATLAS cluster, composed of three UAE institutions. Candidates must demonstrate experience in experimental high energy physics
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and