345 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Oxford
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contribute to monitoring performance through reporting and analysis. You will also represent the Museum professionally in trade contexts, including promotional activity and trade events, and share learning and
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to undertake analyses of neuroimaging measures, apply machine learning approaches to clinical and neuroimaging data, the development of clinical services, the conducting of meta-analyses, and the analysis of pre
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application. In your supporting statement, please explain how you meet each of the selection criteria found in the job description, and why you would like to do this role. See guidance at https
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Microbiology (MMM) Unit at the John Radcliffe Hospital in Oxford. (https://www.expmedndm.ox.ac.uk/mmm). The postholder will lead on developing and undertaking workflows to phenotypically characterise bacterial
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on “Active exploration of iridescence and gloss”. The ESR will join the EXPLORA consortium (https://explora-network.github.io/web/index.html), which comprises 12 academic institutions across multiple European
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at the CNCB, which shares responsibility for the running and maintenance of the facility. More information about the Goodwin lab can be found at: https://www.cncb.ox.ac.uk/the-science/research-groups/goodwin
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covering letter/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk
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Employee Assistance Programme How to Apply Applications must be made via the University’s Internal Job Board, further details can be found here: https://staff.admin.ox.ac.uk/how-to-guide-employee-self
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In
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Coordinator to join the Learning Delivery and Experience (Student and Academic Success) division within the innovative Oxford Saïd Online (OSO) team. OSO is the online education initiative of Saïd Business