29 machine-learning-phd "The Art Institutes" Postdoctoral positions in United Kingdom
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equivalent level of professional qualifications and experience, with expertise in at least one of the areas: machine learning, applied topology, and/or probability theory. About the School The School has
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About the Role Applications are invited for a post-doctoral research associate to lead on a Barts Charity funded project. The research involves application of machine learning methods to heart and
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areas: machine learning, applied topology, and/or probability theory. About the School The School has an exceptionally strong research presence across the spectrum of Mathematical Sciences. It is part of
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About the Role The overall objective of the project is to develop a reduced-order surrogate model for predicting the ammonia direct injection spray characteristics using hybrid machine learning
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clinical and academic researchers to work independently and to support our PhD students and technical staff in the laboratory. An understanding of, or desire to learn single cell transcriptomics and the
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automation. 14. Ability/willingness to supervise PhD students and work as part of a larger team. 15. Optical/laser lab experience. 16. Experience with machine learning platforms such as TensorFlow, scikit
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emphasis of the project will be to investigate metabolic fate of apoptotic cell cargo following their ingestion by macrophages. About You Applicants should hold a PhD degree or equivalent in biological
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meetings. The post-holder will have an opportunity to develop their ideas through various collaborations with different research groups. About You The ideal cadidate for this poistion will have a PhD in
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to funding. This post is full time. This project will involve adapting and using our existing ultracold erbium and potassium machine for studies of e.g. turbulence, dipolar supersolids and polarons. We
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skills and experience: Essential criteria BSc (2:1 or above) in Physics or other relevant field - (Grade 5) PhD awarded or near completion in radiobiology, computational modelling, medical physics or other