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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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review and study set-up through to data collection, analysis and dissemination. The role offers substantial hands-on experience of mixed-methods research on sensitive topics, within a supportive and
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. The role offers substantial hands-on experience of mixed-methods research on sensitive topics, within a supportive and intellectually engaged research environment. Key responsibilities will include
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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experience in the development of first-principle wave models. Recent research experience in the development of numerical codes for complex electromagnetic scattering scenarios, and the use of full-wave
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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experience working with patients with mild cognitive impairment (MCI) or dementia, and have knowledge of research methods and statistical procedures The successful applicant will be clinically mentored by
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. Objectives will be achieved by applying advanced multivariate analytic methods to large-scale datasets emerging from genome-wide association studies of developmental traits. Existing datasets, including
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(MBBS or equivalent) and be fully registered with the GMC, have experience working with patients with mild cognitive impairment (MCI) or dementia, and have knowledge of research methods and statistical