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Field
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research track record demonstrated through publications at top-tier venues. Experience with building systems for machine learning, performance tuning, and building optimizing compilers are highly desirable
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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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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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equipment whilst ensuring optimal workstation performance. Please refer to the job description for details on the essential criteria required for this role. - ADDITIONAL INFORMATION - - Annual leave
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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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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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(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
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active academic staff, around 20 postdoctoral researchers and around 50 postgraduates, with research themes in Algebraic and Combinatorial Structures; Analysis, Geometry and Mathematical Physics; Applied