461 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Fellowship positions in United Kingdom
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St Paul's Cathedral, Barbican Centre, and Farringdon, the campuses offer excellent transport links and a vibrant cultural setting. About Queen Mary At Queen Mary University of London, we believe that a
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of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems. Key Responsibilities Derive and analyse closed-form mathematical
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Strong communications skills as this post will be dealing with a wide range of colleagues For further information about this position and to apply, click the 'Apply' button above. St George’s School
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Applications are invited for a Powys Roberts Postdoctoral Fellowship in Modern Languages at St Hugh’s College, Oxford, tenable from 1 October 2026. This is a two-year, fixed-term, full-time position
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processing and statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; Work on sleep datasets
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, Birmingham, Cambridge, Manchester Metropolitan, Sheffield, and St Andrews, the NetworkPlus is funded to support early stage and translational research projects, to hold a wide range of networking events and
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St Paul's Cathedral, Barbican Centre, and Farringdon, the campuses offer excellent transport links and a vibrant cultural setting. About Queen Mary At Queen Mary University of London, we believe that a
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About Us We are offering an exceptional career opportunity for an accomplished Research Fellow to support the data analysis and data management team of the UK-Irish Atopic Eczema Systemic TherApy Register (A-STAR). A-STAR is the UK’s flagship...
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning