27 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of London
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, symplectic geometry, derived categories, and enumerative geometry. About You The successful applicant will have, or soon obtain, a PhD degree in mathematics or related, or equivalent level of professional
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450 staff, 100 PhD students and c500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally
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use a series of model systems with increasing complexity, including patient derived spheroids, to recreate the breast tissue during obesity we study cellular metabolism via our dedicated MS facility. In
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more than 450 staff, 100 PhD students and c500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
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monitoring, reporting and verification; and development of data and analysis products for clients. All of these elements will involve client and sector engagement. About You You will have a PhD in the relevant
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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with cell lines and human primary cells, cell culture, transfections, immunostainings, western blotting, reporter assays, in vivo testing including models of osteoarthritis in mice. Professor Dell’Accio
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. About You You will have a PhD in statistical genomics, genetic epidemiology, population genetics, biostatistics, or a closely related discipline, with demonstrated experience in analysing large-scale
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or