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be responsible for line management of the post holder’s work on the CCG programme The successful candidate must hold a PhD in a transport or energy-related field, including but not limited to transport
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Keble Triangle. You will carry out research on probabilistic verification and synthesis to enable robust AI. This may involve neuro-symbolic approaches; probabilistic verification/synthesis; planning and
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conduct your own experimental work and provide expertise for the establishment and use of iPSC-derived neuronal cultures. Additionally, you will carry out collaborative projects with colleagues in
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Oxford University’s acclaimed Computer Science Department, located in the heart of Oxford’s Scientific Keble Triangle. You will carry out research on robustness verification in AI. This may involve
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successful candidate will hold a PhD in a Biological Sciences discipline, in addition to prior experience supervising more junior members of staff. Experience in an aspect of human islet isolation and
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are a PhD or DPhil in theoretical computer science or mathematics, an extensive knowledge of computational complexity theory, and a strong publication record in the field of computational complexity
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you should have a higher degree (PhD/DPhil). You will show evidence of distinction in research through publications and invited lectures, and have sustainable peer-reviewed funding in Emergency Medicine
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. The post-holder will have the opportunity to work collaboratively in the design of this investigation as well as to develop ideas for generating new research projects, to carry out comprehensive research
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will include transport infrastructure and may also include power and water supply infrastructure. You will work with the rapidly emerging global datasets of infrastructure, along with multi-sector, multi
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and legacy CMB data. • Carry out collaborative projects with colleagues in RadioForegroundsPlus and other collaborations that the group is a member of. Good programming experience