72 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions at University of Oxford
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(min 0.5 FTE) and fixed term for 24 months from March 2026. The post holder will either be based in the Manor Road Building or at the Faculty of Law, St Cross Building, Oxford. Applications
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collaborate with other technical groups working on the design. The successful candidate will also have opportunity to conduct experiments and machine development activities on the existing accelerators. The key
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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tablet based cognitive screening tools for use with those with acquired brain injuries (e.g., stroke, traumatic brain injury etc). The post-holder will be expected to be central in data collection in
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environment, please get in touch to learn more. Similar advertised posts can be found below The closing date for applications is 12 noon on 15/04/2026, please upload a CV and supporting statement as part of
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touch to learn more. Similar advertised posts can be found below The closing date for applications is 12 noon on 15 April 2026, please upload a CV and supporting statement as part of your online
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with other group members to assist them with gene functional characterisation. They must work as part of a team, be willing to learn new methods and skills and persevere in case of discouraging results
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will work on advanced brain-machine interfaces and non-invasive stimulation systems, integrating real-time behavioural and brain activity monitoring to deliver closed-loop interventions. This role offers
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spectroscopic data; publish and disseminate their results. You will have the opportunity to teach. Applicants should have a PhD (or close to completion) in Astronomy/Astrophysics or a related field and ideally a
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investigating how dopaminergic and serotonergic systems interact in the primate frontal cortex to support learning and decision making. About the department The Department of Experimental Psychology is a large