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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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events. Collaborating with team members and external partners across higher education, industry, and civil society. Upholding best practice in research conduct, ethics, and data management. Person
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of funding bids in the Centre including working on systematic literature reviews, data and impact plans, networking with non-academic stakeholders and partners, working with internal research staff and scoping
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, building the experimental apparatus, conducting the experiments, analysing the data, and producing the manuscripts for publication (as first author), as well as disseminating the results of the project
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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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modern privacy-enhancing technologies (e.g. based upon synthetic data or using formal differential privacy guarantees) impact research integrity and reproducibility. This is an exciting line of research
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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working with families, professionals and teachers to best support neurodivergent children and young people in different settings. You will lead data collection using quantitative and qualitative methods
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and experience of working collaboratively. You will join the SAMS consortium and the internationally renowned atomic astrophysics group at DAMTP, providing atomic data to the world-wide community
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or your viva has been held. Informal enquiries may be addressed to Prof. Tan (email: jin-chong.tan@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us