123 parallel-computing-numerical-methods Postdoctoral positions at University of Oxford
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ultimately contributing to the development of new antiviral approaches. The project takes a cross-disciplinary approach, combining biochemical, biophysical, cell biological, and virological methods, including
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We are looking to appoint a postdoctoral researcher, to work with a group of UK Higher Education Institutions to deliver a programme of mental health research. The work is funded by the Medical
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and breeding grounds for whales in the past. Using phylogenetic comparative methods and the niche modelling results, the post holder will examine the evolutionary history of ecological niches broadly
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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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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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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 Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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anxiety, to work within the established research programme. Substantial hands-on research and professional experience of working with individuals with mental health difficulties, including first-hand
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We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious
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is fixed term for up to 36 months with a start date on or before 1st October 2025. This post will involve developing analysis and control methods for systems described by PDEs, with applications in