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degree or equivalent in Genetics/Bioinformatics/Genomics High-level computing skills desirable; MRes advantageous IELTS 6.5 overall (if applicable) International students must cover the fee difference How
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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Verification Tools: Develop AI algorithms that automate the verification process, ensuring systems meet required safety and performance standards. Health Monitoring Algorithms: Implement AI-based monitoring
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PhD studentships for Black or Black Heritage candidates who demonstrate the potential for research and academic excellence and who have a high motivation for postgraduate research. Tenable period 3.5
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frameworks are critical to ensuring safe, resilient, and trustworthy navigation in transport and other domains. This project will aim to enhance the performance and robustness of autonomous navigation
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biodiversity benefits or urban heat mitigation. Working across two demonstrator case studies in the UK and Ireland you will identify synergies and areas of best practice from a policy and regulation perspective
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requirements for your preferred programme, in addition to those specified by RADMA. Nationality restrictions This funding is available to all nationalities. Other eligibility criteria This award is available
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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Primary Supervisor - Prof Tracey Chapman Strong interdisciplinary training, within the ARIES Ecology and Biodiversity theme, to equip you with high-in-demand analytical skills in phenotypic and