335 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Oxford
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the laboratory and improve them on the basis of their performance to recognise drug induced cell morphologies About You You will have an MSc or equivalent qualification in mathematics, machine learning, LLMs, and
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-quality publications of an international standard and to teach, supervise and examine undergraduate and graduate students. The person appointed will be expected to engage in advanced research in physical
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for candidates to pursue an independent research programme in applied mathematics, and to join a large existing cohort of leading researchers on Fellowship programmes at the Mathematical Institute: https
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this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement . The closing date for applications is 12.00 noon on Tuesday 6th January 2026. Only applications submitted by this time will
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will have a background in contemplative neuroscience and experience with machine learning approaches such as support vector machines, gradient boosted trees, or convolutional neural networks. A Master’s
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include a CV, Supporting Statement/Cover Letter. For further guidance and support, please visit https://www.jobs.ox.ac.uk/how-to-apply. Any technical questions related to this vacancy can be sent
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teams across the organisation. This includes the Communications team, the Assessment team, the Learning & Development team, and various project delivery teams. With these teams, you will ensure you’re
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well as collaboratively, and able to use standard computer programmes with confidence. You will have an awareness of health and safety regulations and a willingness to learn Facilities Management processes, showing
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Earth Centre for Doctoral Training (CDT) in AI for the Environment. (https://intelligent-earth.ox.ac.uk/home) Applications for this vacancy are to be made online. You will be required to upload a CV and
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential