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successful applicants between colleges for the scholarship to be taken up. This scholarship is not open to applications from candidates who hold deferred offers for 2026-27. For more information, visit the
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and timeline. Once operational, you will oversee initial flow characterisation and data analysis, contribute to the implementation of advanced experimental techniques, and support experiments across
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stimulation, and related technologies. Additionally, the post-holder will lead regular training workshops to ensure consistent and high standards of data collection, safety, and documentation across
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reports and grant proposals. You should possess a PhD or DPhil (or near completion of) in Machine Learning or Maths. Informal enquiries may be addressed to jakob@robots.ox.ac.uk For more information about
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thematic areas- Start Well, Live Well, Age Well- along with five cross cutting themes: digital; health tech and data; community, social, and home care; knowledge mobilisation, implementation, and
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, collecting data on small-scale movements of the eyes during visual tasks using high-resolution in vivo retinal imaging. The post is full time for 12 months or until the grant end date of 30 June 2027
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. Forklift experience and a clean driving licence would also be considered beneficial. Additional Information The successful candidate will be required to undertake University safety training and to comply
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information with discretion are essential. Application Process You will be required to upload a supporting statement, CV, and the details of two referees as part of your online application. The closing date
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opportunities as this is a network grant including external collaborators. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information
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intermediate computer skills, particularly in Microsoft Office. Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must