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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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Researcher in The School of Chemistry. The InTeleCat project involves the use of machine learning and AI as applied to organic synthesis. It is a large collaborative project involving researchers in the US
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discipline. This project is particularly suitable for candidates with an interest in one or more of the following areas: Artificial Intelligence and Machine Learning Generative AI and Large Language Models
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Irish government support, Tyndall will grow to be 1,000 people by 2030, with approximately 750 researchers, including 250 PhD students. A new 17,000 m2 research building is under development adjacent
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econometric and machine learning frameworks to analyse the causal relationships between transport behaviour, residential energy consumption, and environmental outcomes in urban systems. The successful candidate
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working with electronic health records or primary care data. Knowledge of predictive modelling or machine learning applications in healthcare research. Experience in clinical trials. We are all too aware
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(QS World University Rankings 2026). Founded in 1592, the University is steeped in history with a reputation for ... Job Description PhD Studentship - Machine Learning for Two-phase Heat Transfer