Sort by
Refine Your Search
-
We are seeking a highly motivated Research Assistant to join Professor Thomas Bowden’s group within the Division of Structural Biology. Funded by CEPI, this exciting role focuses on integrated X-ray crystallography and electron microscopy studies to explore viral glycoprotein–antibody...
-
We invite applications for a Postdoctoral Research Associate (PDRA) to join the EPSRC Hub on the Mathematical and Computational Foundations of Artificial Intelligence. One PDRA will be recruited
-
We are currently inviting applications for a Postdoctoral Research Associate to work with Professor Lida Kanari at the Mathematical Institute, University of Oxford. This is a 1-year, fixed-term
-
our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
-
aging and malignant transformation, taking the lead in developing novel mathematical models and statistical tools, to quantify clonal dynamics in aging and malignant human tissues. As a member of an
-
to their ongoing research programme, which aims to unravel the complex mechanisms underpinning 3-dimensional growth in plants. This is a fixed term position for one year. About you The successful applicant will hold
-
• Phase field modelling • Battery technology • Computational Mechanics A strong foundation in computational mechanics/physics/mathematics is more important than prior experience in
-
Integrating and Predicting Responses of Natural Systems to Disturbances . About you The successful candidate will develop and test new theoretical and computational frameworks linking population and community
-
ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics
-
medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry