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for Science with inadequate attention and support. This proposal addresses the gap by focusing on the development of optimized implementations for AI for Science workloads. Bespoke communication and computation
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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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key role in driving high-impact research, developing innovative objectives, and formulating proposals within cutting-edge fields, including Computer Vision, Digital Healthcare, AI Optimization, and
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. The postdoc will engage in research including, but not limited to, the following areas: • Mixed-Integer Linear / Quadratic Programming for large-scale decision-making problem • Non-Convex Optimization and
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company page (external link, opens in new window) . About the program/department/team The postdoctoral fellow will be supervised by Dr. Vess Stamenova (Primary Supervisor and Principal Investigator, TRSM
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and Social Policy, the Health and Social Services Management Major and co-host the Social and Public Policy Studies Major with the Department of Economics. The Department hosts an MSocSc Programme in
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implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Utilize PyTorch to train and fine
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Engineering in the 2025 QS World University Rankings by Subjects. The postdoctoral fellow will work in a laboratory that was one of the pioneers in the field of neuromorphic computing, and one that has
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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: Fusion Science for Clean Energy: Gamma-ray Spectroscopy diagnostic for WEST Project Introduction: As part of our Fusion Science for Clean Energy programme, we have one opening for a Research Fellow, to