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. The successful candidate will contribute to a collaborative research programme with an industry partner, focusing on modern, scalable recommender systems, including behavioural modelling and generative methods
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for Data Analytics. The successful candidate will contribute to a collaborative research programme with an industry partner, focusing on modern, scalable recommender systems, including behavioural modelling
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; archival, ethnographic, and participatory research; GIS and social network mapping; policy input; socio-economic modelling and analysis; and synthesising quantitative and qualitative data. Achievement
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. Furthermore, a novel predictive algorithm of School-age neuropsychological outcome will be developed combining radiomic model of brain development, with qualitative neonatal MRI findings. Achievement
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. • Demonstrated skills in simulation modelling and in designing and developing interactive dashboards to support scenario analysis and decision-making. • Knowledge of AI governance frameworks and healthcare
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, thematic analysis), with proficiency in NVivo or similar qualitative data analysis software. Demonstrated skills in simulation modelling and in designing and developing interactive dashboards to support
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mechanisms that regulate dopaminergic neuron vulnerability in ageing and Parkinson’s disease, integrating human stem cell–derived neuronal models, in vivo studies and translational human tissue analysis
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biology, marine restoration ecology, and habitat survey techniques. Experience in habitat suitability modelling (e.g. MaxEnt, Random Forests). Experience in molecular ecology and genetic analysis
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to be genetically and biochemically characterised to see how they may alleviate inflammation in IBD-disease models. Microbiome and metabolome analysis of these in-house strains will finally be validated
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vaccine loaded microneedle process for technology transfer to GMP production. They will also be involved in immunogenicity testing of these vaccine dosage forms in vivo in pre-clinical models. The ideal