10 high-performance-computing-"Multiple"-"Humboldt-Stiftung-Foundation" PhD positions in United Kingdom
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on an exciting Wellcome-Trust funded project. The research focuses on decoding neural representations across dynamic brain states through advanced computational analysis of large-scale neural recordings. What you
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from visual and auditory cortices recorded over multiple days Apply and adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural
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diagnostic capabilities. The skills and knowledge gained will be transferable to other applications requiring high-performance radiation detection and advanced material interfaces. Through
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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University in the Centre for Digital and Design Engineering, part of the Manufacturing, Materials and Design theme. The Centre provides access to advanced simulation, visualisation, and high-performance
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that positively develop their workplace relations, environments, cultures, and behaviours. The successful applicant will work with sports coaches recruited from high performance sport, national governing bodies
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and impact related to two EPSRC funded projects: ResTOrES (Resilience Toolkit for Offshore Energy Systems) and RENEW (Climate Resilient Heat Electrification for Net-Zero Emission Whole Energy). The
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based