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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting-edge deep generative probabilistic models
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to differentiate between healthy and accelerated brain aging; ii) create multiphysical constitutive models of cortical tissues degeneration during aging and injury; iii) utilize longitudinal medical image data
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the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics, Statistical Machine Learning, Deep Generative Modelling, or a closely related field, together with relevant
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant Catalysis
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relevant PhD, or nearing completion, in a related field of study. Experience in Aspergillus cultivation and genetics, Galleria mellonella virulence model as well as microscopy are essential. Cell culture
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for the supervision of PhD and MSc students working on related topics. This position offers an excellent opportunity to further develop expertise in a rapidly advancing field, while also gaining experience in managing
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of longitudinal data (e.g., growth models) Experiencing of working with young people, schools, and / or people with mental health problems Downloading a copy of our Job Description Full details of the role and the
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant Catalysis
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging