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for the disease-spectrum and its evolution (change in severity of individual facets and shift in manifestations) with time and intervention, thereby enabling understanding of an individual’s position within
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frameworks for ML and real-time audio software Curating audio datasets, spatial-audio/audio-visual recordings, and ML training/evaluation pipelines Experimental systems development, e.g., integrating
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developing an AI platform to valorise agri-food waste-streams and improve protein security? We are looking for a Research Fellow in Techno-Economic Modelling for Sustainable Protein Production to join our
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Development of Novel Optical Fibres for Fibre Lasers Silica Fibre Fabrication Group, Optoelectronics Research Centre A Research Fellow position is available for a highly motivated and talented
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, and uncontrolled approximation errors. In this project, we aim to develop novel diffusion and flow-based models, and associated algorithms, which can more efficiently and effectively solve inverse
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committed to staff development through the provision of training, continued support, and career progression opportunities You will have access to a range of benefits and rewards, including fitness and health
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research programme focusing on evidence generation to further methodology research and to enable the design and development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR HRC IVD
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project focuses on developing a novel therapy for craniosynostosis, a condition whose incidence has increased substantially across Europe in recent decades. The Research Fellow will contribute to a
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research fellow will work on a new EPSRC-funded project focussing on the development and implementation of automated computational schemes for direct design of homogeneous metal-free catalysts for CO2
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for AI-driven scientific discovery, funded by a Leverhulme Trust Research Leadership Award held by Dr Alessio Spurio Mancini. ECLIPSE’s goal is to develop next-generation inference frameworks that combine