423 algorithm-development-"The-University-of-Edinburgh" PhD positions in United Kingdom
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inequalities which arise from economic policies. You will have the opportunity to work with a multidisciplinary team of geographers, public health experts and policy partners to develop computational models and
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
for the Everyday). We have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led
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. Insights gained will inform the development of novel therapeutic strategies for HFpEF and broader cardiometabolic disease. Training & Development The successful candidate will receive broad training in
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publications, managing an industrial research project, and delivering reports to industrial partners. You will join a currently running industry-funded project. The project focuses on the development
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assigned a faculty mentor throughout their course of study and have opportunities to participate in faculty development programmes. The scholarship is tenable for a period of five years. Service Commitment 5
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in the felt structure, making traditional regeneration or disposal techniques both technically and environmentally inadequate. This PhD research seeks to redress this imbalance by developing scientific
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dietary exposure risks to consumers. The research will involve method development using LC-MS/MS for toxin detection, sample collection, data analysis, and comparison of results against current safety
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individually, make a real difference. The role We are looking for a part-time research assistant (1 day a week for a year) to work with us on a project that aims to develop a set of resources that support
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to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor