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analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall
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clinical data, open-sourcing experimental software prototypes, writing scientific papers, and presenting research at the leading international conferences. There will be ample opportunities for national and
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publications, presenting at conferences, and engaging with stakeholders. There is also the opportunity for a part-funded PhD studentship (Tuition Waiver) as part of this position, subject to final approval
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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-subsaturated air (but where no contrail was formed). Research Associate: Hold a PhD in Aerospace Engineering, Atmospheric Science, Physics, or a closely related discipline*, or equivalent research, industrial
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benefit we can offer is the option for to complete a PhD in the 36-months, if you wish. The opportunity to continue your career at a world-leading institution and be part of our mission to continue science
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interest in social theory to join the workstream ‘Co-creating Concepts of Care.’ The expectation of the successful candidate is twofold: 1) To co-develop and conduct their own PhD project on how racialized
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, statistics, sleep medicine, and artificial intelligence, for example. A very significant and specific benefit we can offer is the option for to complete a PhD in the 36-months, if you wish . The opportunity
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. The successful candidate will also have the opportunity and be expected to develop and conduct their own PhD research on how racism creates epistemic injustice and restricts formal and informal carers
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to discuss the post informally, please contact Dr Yuanchang Liu () About you The ideal candidate will hold a PhD (or be close to completion) in Mechanical Engineering, Robotics, Marine Engineering, or a