28 phd-in-mathematical-modelling-population 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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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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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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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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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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, 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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Principal Investigator with the day-to-day running of the project. About You The successful candidate will have a degree and PhD (or close to completion) or research qualification/experience equivalent to PhD
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have