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Field
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how geometry- and data-driven digital twins of wireless environments can support learning, inference, and coordination in physical AI systems such as robots, vehicles, or distributed sensing platforms
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management systems, particularly through the fabrication of mini- and micro-channels with complex internal geometries. However, AM-generated surfaces exhibit significant and highly irregular roughness, a key
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description [Background of the recruitment and description of the project
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physics and electromagnetic (EM) theory/modeling, at the Electrical and Computer Engineering Department, and in collaboration with the Applied Mathematics Department, Santa Clara University. This is an in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Research Triangle region, throughout the State and across the Nation. The Department maintains a strong research program as well as a comprehensive educational program. An active, healthy research
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are looking for a strong candidate to work in a team on the interdisciplinary StochMan project that integrates elements of stochastic analysis, geometry, partial differential equations, and computational
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components. This specific postdoctoral project aims to develop methods for designing 2D protein lattices that serve as scaffolds for attaching other protein assemblies with precise geometry, thereby creating
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computer-aided design (CAD) and FEM solvers of optical systems Experience in the optical and mechanical design of optical devices or lasers Experience with construction and testing of optical cavities
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schemes and perform high-resolution CFD simulations of two-phase flow. Optimize impeller geometry and reactor design using simulation-based parametric studies. Couple computational results with experimental