214 parallel-computing-numerical-methods research jobs at University of Oxford in United Kingdom
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experimental data, as well as develop protocols and implement improvements to current working methods. In this role you will provide relevant advice and training for those using the laboratory and facilitate
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education serves to politicise today’s students, through a longitudinal, mixed methods study. The project is being conducted in collaboration with colleagues at Durham University and the University
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to state-of-the-art facilities located within the thriving Department and will employ structural biology methods to address the group’s research questions. This is a full-time fixed term post funded by
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, and have excellent communication skills for writing, presenting, and representing the research group. Experience in adapting protocols and selecting experimental methods is essential. Desirable
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We are seeking to recruit a Research Assistant for 6 months to support a research programme in the Flashman lab, Department of Biology, University of Oxford. The project aims to engineer Plant
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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should hold an MSc in a Social Science subject or related area, have experience with qualitative research methods, including digital ethnography and have a documented interest in researching AI and
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, ideally with experience as both a course or programme leader and an examiner, and an excellent working knowledge of the administrative and quality assurance processes which underpin a successful teaching
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postholder will be Director of the CDT programme, until September 2033 in the first instance, as this is the period for which funding from the Ellison Institute of Technology is confirmed. The successful