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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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sustainable heritage management decisions (particularly in an African context), using advanced methods in satellite imagery analysis, remote sensing and machine learning, combined with geospatial analysis
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patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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, development of neighbourhood portraits, interviews, community surveys, mapping). You should have a PhD degree in relevant areas of Public Health and experience of organising and conducting research in a
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on a representative circuit breaker to study the dynamics of the gaseous environment during and following high current interruption. If you are still awaiting your PhD to be awarded you will be appointed
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. MSc or PhD would be advantageous. Strong laboratory/research skills in a closely related field. Experience of anaerobic microbiology (sterile techniques). Experience of separation and identification
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Multiple Sclerosis (MS) with a view to highlighting the implications for clinical practice. A recently completed PhD (PhD1) study, supervised by Dr Andrea Hollomotz and Professor Helen Ford at the University
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breaks barriers; we are creating something new which is always exciting. The team consists of several experts who can teach you many translatable skills and knowledge from the fields of sleep medicine
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Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development