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adaptive platform designs. This will include contracting and programme management, delivery of work to time and target, dissemination of findings to academic and public audiences, and reporting to funders
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preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post is funded by ERC (or UKRI) and is fixed term to 31 December 2028. We are seeking two candidates...
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England. Attracting and retaining high-calibre people is fundamental to our continued success. The Role Are you interested in applying machine learning and computational methods to address real-world
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry
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We have an opportunity for a Research Assistant to contribute to a programme of research, RIPPLE, led by Dr. Beatriz Goulao and aiming to improve the sustainability of the health services by
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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%) allocated to teaching on the School’s programmes and developing the Alfred Landecker Programme. The post is generously supported by funds from the Alfred Landecker Foundation, to support a programme of