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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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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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for advancing researchers’ work and academic careers. The ideal candidate is highly ambitious, well-trained, self-motivated, hard-working, equally capable of working alone and as part of a team, and holds a PhD
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(CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated researcher to work on topics in the theoretical foundations of data science and AI. The selected candidate will be part of the Foundations
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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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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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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the 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
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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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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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; 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