121 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at University of Oxford
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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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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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techniques, basic QC approaches) and a willingness/ability to learn new methods quickly and to troubleshoot. You will have experience of following and adapting protocols and selecting appropriate experimental
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for Teaching and Learning and Education Policy Support teams. You will help to raise awareness of their services and inspire excellence and inclusion in education policy and practice across the University
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carrying out collaborative projects with colleagues in partner institutions, and research groups. The post-holder will have the opportunity to teach. Applicants should hold, or be close to the completion
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required to enthuse and inspire students at both undergraduate and graduate level through tutorials, classes, lectures, and supervision. The papers which the candidate will be required to teach are specified
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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
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psycholinguistics and education. You will join a vibrant research community, working closely with Dr Bernabeu while integrating into the wider Learning in Families through Technology project. We offer a high degree
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Department of Physics offer an inclusive and diverse environment and workplace. We strongly encourage applications from all backgrounds and genders to apply.The post-holder will have the opportunity to teach
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also have experience of analysing research results in a transparent and reproducible way, using relevant tools and software. You should be enthusiastic to learn and work independently and as part of a