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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support disassembly tasks in the energy sector (wind turbines). You will also
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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performance and yield; spanning from optimal “device recipe” prediction to automated testing and yield assessment. The post-holder will have the ability to engage with world-leading experts across AI and
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with symptoms. However, our brain operates differently between sleeping and waking brain states, and an optimal system should take this into account. The aim of this project is to develop brain state
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record of delivering application support and development for business-critical systems Strong knowledge of SQL Server databases and relational structures Expertise in capturing and optimizing business
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, to predict MoSS formation, model dopant effects on crystal structures, and identify optimal dopants for tuning host compounds. The project is highly multidisciplinary, linking computational and physical
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the most pressing areas of fundamental understanding which are currently lacking and need to be overcome in order for the four PV device concepts to be optimized. The modelling findings on a range of
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(HVDC) technology will be used to bundle energy from several windfarms and transport to load centres. Future offshore wind farms are expected to be further optimized either functionally or in
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Project overview Lancaster University’s Department of Management Science is seeking a Senior/Research Associate for a project “Tackling new simulation and optimization challenges towards self