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partner Ward & Burke. This will require spending part of the project in the offices of Ward & Burke and on site. You will hold a relevant PhD/Dphil or be near completion* together with relevant experience
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predictive capability. You should possess a PhD/DPhil or be near completion* in a relevant subject area. You will have exceptional initiative and the ability to work independently at the highest level
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-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with
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chemical research, developing and implementing novel methods for interpretable, safe, and aligned machine learning systems. You should possess a PhD or DPhil (or near completion of) in Machine Learning. You
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including: In-situ, operando and ex-situ techniques (X-ray and neutron, computed X-ray tomography, spectroscopy) Electron microscopy (eg FIB/SEM, EDX and sample preparation) With a background in the field
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an excellent environment for multi-disciplinary teaching and research. To be considered you will hold a PhD in relevant scientific subject. Strong experience, ability and practical success in machine
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, including research assistants, PhD students, and/or project volunteers. With a background in physics and computational modelling of magnetic and carbon nanosystems, you will be self-motivated with the ability
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and reporting of the results in technical reports for sponsors, internal seminars, and at international symposia. You should possess a PhD/Dphil (or be near completion) in a relevant field and have
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manuscripts for submission to peer reviewed journals. You may also have opportunities to co-supervise Masters and PhD projects. The projects you will be working on are interdisciplinary and so the ability
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ability to work effectively in a team and individually will also be essential to deliver the project. Informal enquiries may be addressed to Dr Paul Beard (email: [email protected]) For more