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Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and
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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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working full-time. We are seeking a Machine Learning (ML) Researcher to advance AI capabilities within DATAMIND TRE and the Mental Health Goals (MHG) Observatory (national infrastructure supporting the UK
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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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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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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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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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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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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