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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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to gain academic research experience and to learn from leading academics. The ideal candidate for this role will have a background in qualitative social science research, such as literature reviews, surveys
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Statistics Theoretical Computer Science Applied Maths for CS Mathematical foundations of Machine Learning The named courses are subject to change upon realistic needs of the programs and joint agreement
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willing to learn new applications. Benefits Membership of the OSPS pension scheme, free medical insurance (taxable benefit), 30 days annual leave (plus bank holidays), free meals on duty, use of on-site gym
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
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of Psychological Medicine focuses on the interface between psychiatry and medicine, psychiatry and occupation, psychiatry and the military, and psychiatry in different settings. The disorders of interest are those
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publishing work as lead author. Experience with machine learning methods for modelling human learning, such as knowledge tracing and/or experience with conducting research that involves prompting or fine
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: Experience in software development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer
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’. The role-holder will work closely with medicinal chemists at University of Oxford and pharmacologists at University of Glasgow, applying virtual screening, machine learning, AI-driven generative chemistry
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nutrition, genetic, lifestyle and environmental data; Aim 2. Utilise AI and advanced machine learning approaches to identify novel gene-nutrient interactions to inform personalised nutrition solutions