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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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performance decisions that are better informed by data and to make performance‑critical decisions with greater confidence and clarity. This is an applied data science collaboration between Swansea University’s
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code:8050F Research Area: Computing Science Select ‘PhD Computer Science’ as programme You will need to provide information in ‘Further Questions’ section: ‘Personal Statement’ (mandatory) - upload
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epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
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research combines epidemiological modelling, proxy-data fitting, and reinforcement learning for public-health decision support. As the Computer Science PhD researcher, you will lead the research on novel
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science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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applications for one Research Assistant Professor (RAP) position in Computer Science (CS) Education Research and Artificial Intelligence (AI) in Education. This position is designed to strengthen the College's
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, Department of Computer Science, the Technical Faculty of IT & Design and the Center for Clinical Data Science (CLINDA) and Center for General Practice (CAM), Department of Clinical Medicine, the Faculty
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Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: PhD in ICSA with a start date of 1 September 2026. Applicants should state “Memory
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epidemiology and biology of infection with start date 1 September 2026, or as agreed. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Data driven