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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
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preparing/presenting briefings/templates/reports). Strong IT skills (Microsoft Office; ability to learn and support CRM/bespoke platforms). Resilient and adaptable; calm under pressure; able to absorb complex
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in working on collaborative projects using GitHub or similar, and CI/CD practice and workflows. It would be a benefit if you had some experience of: some analysis languages such as R or Stata, Machine
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post holder will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Bioinformatics tools, Statistical and Machine Learning approaches
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IT and AV services that underpin technology-enhanced teaching, clinical simulation and hybrid learning environments. This is a pivotal role ensuring the reliable operation of technology-enabled
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machine learning, Reliability Engineering & System Safety, Volume 264, Part A, December 2025, 111368 L. Deng, C. Shi, H. Li, M. Wan, F. Ren, Y. Hou, et al. Prediction of energy mass loss rate for biodiesel
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further developing new and innovative academic practice and learning opportunities working in collaboration with our partners across England. You will work as part of the course team supporting
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on basic laparoscopic surgery tasks, using data collected under varying network conditions and applying machine learning and time-series modelling to predict delay. The models will be integrated into a real
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into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process. This PhD project will take the latest in AI
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Analytics & Machine Learning Fundamentals of AI Deep Learning & Neural Networks Computer Vision & Natural Language Processing Develop course materials and curricula aligned with international standards and