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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer. We are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information Before
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working with NLP in general and LLMs in particular. They will also help to further develop machine learning models to predict clinical outcomes. Familiarity with current methods in this area is essential
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will receive: Generous annual leave: 35* Days Annual Leave (pro rata if part-time) plus Bank Holidays* & Closure Days* Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance
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(STFC, Daresbury), Prof. Jonathan Tennyson (University College London) and Prof Michael Charlton (Swansea). The Research Fellow will work on the development of methods and computer programs adapted
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the potential to impact on protected groups and take appropriate action. Desirable Skills: Experience with machine learning or natural language processing. Knowledge of econometric methods for policy evaluation
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. Our pre-covid NSS scores for overall satisfaction was above 90% for eight years and since covid have been ahead of the sector average and sector benchmarks. We provide a learning experience of the
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are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information For further information please contact Jordi Solana, e-mail j.solana@exeter.ac.uk
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: To create a world class visitor and learning experience across all V&A sites and collections. Focus and deepen the relevance of our collections to the UK creative and knowledge economy. Expand the V&A's
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research