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Field
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form-finding or topology optimization, and want to explore how mathematical approaches can be used to improve computational performance and obtain globally optimal results. Or, you may be an expert in
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and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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. The successful candidate will contribute to the development of a software framework for optimization-driven structural design. The methods developed will be designed to overcome the limitations of current topology
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supervision, preparing presentations and reports for deliverables, developing related/follow-on projects). Candidates must have a PhD (or nearing completion) in Computer Science or related field and a strong
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accelerating their translation into impactful and industry-ready solutions. As a 5G Systems Research Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental
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, this project combines the expertise of Sorbonne Université Center for Artificial Intelligence, PostGenAI@Paris cluster and APTIVIO's AI-powered sales optimization platform. We are seeking a highly motivated and
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to Dr Bismark Singh by email B.Singh@soton.ac.uk . About you The selected candidate is required to have a PhD in operations research, mathematics, computer science or a related area. Experience in
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networks Implementation of algorithms via computer simulation Experience with programming in Python, C/C++ or another language Knowledge Knowledge of Optimization methods, signal/image processing techniques
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design