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"Postdoctoral Research Associate in Data-driven Modelling of Collective Cell Behaviour"

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Postdoctoral Research Associate in Data-driven Modelling of Collective Cell Behaviour

We invite applications for an outstanding postdoctoral research associate in data-driven modelling of collective cell behaviour to work with Professor Ruth Baker at the Mathematical Institute, University of Oxford. This is a 24-month, fixed-term position, funded by the Simons Foundation. The start-date for this position is flexible, but September-November 2026 is preferred.

The project will focus on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects of collective cell behaviours. Examples of topics studied in the Baker group include collective cell invasion, wound healing, and regenerative medicine. There will be the opportunity to work closely with experimental collaborators of the Baker Group.

The research undertaken in this role will be carried out under the Simons Foundation Grant “Simons Investigator Award” (MP-SIP-00001828). The postdoctoral researcher will be expected to conduct research both independently and collaboratively with other members of the group at Oxford and elsewhere. They are also expected to provide informal mentorship of doctoral students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a plus.

We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award.

Please direct informal enquiries to the HR Administrator (recruitment@maths.ox.ac.uk), quoting vacancy reference 184696.

Please note: Applicants are responsible for asking two referees to send their reference letters directly to references@maths.ox.ac.uk by the closing date. Full details are contained in the job description.

Applications for this vacancy are to be made online. To apply for this vacancy and for further information, including a job description and selection criteria, please click on the 'Apply' button above.

Only applications received before 12.00 noon UK time on Friday 20 March can be considered.

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