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Field
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international meetings. Qualifications A PhD from a diverse set of backgrounds related to health outcomes research (i.e Public Health, Epidemiology, Psychology, Education, Statistics or related discipline) are
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language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation. Background in Generative AI research, including multi-modal LLMs. Background in AI
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The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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. Strong programming and analytical skills (e.g., Python, R, GIS, modeling frameworks). Experience working with EO data, disease surveillance data, or socio-environmental modeling. Demonstrated interest in
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environments to evaluate model accuracy, false-positive rates, and real-time system responsiveness. Collaborate closely with international renowned biologists, aquaculture domain experts, sensor engineers, and
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The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is
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Wind Tunnel (IWT) facilities and providing support on experimental test campaigns. This will include assisting with tunnel and model instrumentation, data post-processing, analysis and management