41 machine-learning-phd "The Art Institutes" Fellowship research jobs at The University of Southampton in United Kingdom
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candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power
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in the area of dynamic system modelling with knowledge of signal processing and machine learning as all three areas are essential to achieve the aims. You should have a proven track record in at least
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: 2765324PN We are looking for a candidate with interest in computer simulation and numerical modelling of a new water window X-ray microscope. The project is an exciting new EPSRC-funded collaboration between
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mentoring for quantitative researchers, as required by a given project. Candidates are expected to have a PhD which contains a significant use of applied statistical methods. In addition, candidates should
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sponsors, awarded to Prof M Ardern-Jones. Candidates must hold or nearing completion of a relevant PhD qualification. A strong background in molecular biology is ideal but not critical. The project will
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image processing, biometrics, security, machine learning or a related discipline, and the ability to write for publications, present research proposals and results to non-scientific audiences
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new and existing machine learning methods to build intelligent and proactive risk models. The diverse set of modelling, learning, and data management components will run on a heterogenous cloud, using
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we teach to our students - and what they are teaching us. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD
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delivery of project components, manuscript preparation and involvement in grant bids for continuing funding. Candidates should have a PhD in a relevant area and a BSc/MSc in a related life science subject
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, computer scientists, and biologists all working to develop imaging techniques within a supportive and diverse environment. The post will be based at the University of Southampton and employed by the School