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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
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to carry out original, world-class academic research, both independently and in collaboration with the Programme research team. This includes leading the programme’s work on net zero governance systems. You
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the propagation of systemic risks through global shipping networks, and how these networks may evolve in the future due to changing patterns in global trade, including those associated with the green energy
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partner institutions and within SKOPE. You will hold a relevant PhD qualification (or be close to completion), with sufficient relevant research expertise, experiences, and specialist knowledge in the field
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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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and transporting biological samples, including blood and its products (cells and plasma) and thymus tissue, analysing data acquired during experiments and draft research reports and contribute