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

Applications for this vacancy closed on 15 April 2024 at 12:00PM
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 36-month,
fixed-term position, funded by the Simons Foundation. The start-date for this
position is flexible, but September-November 2024 is preferred.





The project will focus on combining theoretical and computational approaches
(including machine learning) to understand fundamental aspects of collective
cell behaviours. Examples of topics studied in the Baker group include
collective migration driven by phenotypic heterogeneity, electrotaxis,
fibrosis, and cell cycle regulation. The project will involve working 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, which guide our progress towards advancing
racial and gender equality. As part of our strategic aim to improve staff
equality and diversity, we would particularly welcome applications from women
and BME candidates, who are currently under-represented in positions of this
type within the department.





Please direct informal enquiries to the Recruitment Coordinator (email:
recruitment@maths.ox.ac.uk), quoting vacancy reference 171577.





Applicants will be selected for interview purely based on their ability to
satisfy the selection criteria as outlined in full in the job description. You
will be required to upload a statement setting out how you meet the selection
criteria, a curriculum vitae including full list of publications, and a
statement of research interests. You will also need to provide two reference
letters as part of your application - ** applicants are responsible for
contacting their referees and making sure that their letters are received by
the closing date).**





Only applications received before 12.00 noon UK time on Monday 15 April can be
considered.

dc:spatial
Mathematical Institute, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG
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vacancy:applicationClosingDate
2024-04-15 12:00:00+01:00
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2024-03-12 09:00:00+00:00
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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 36-month, fixed-term position, funded by the Simons Foundation. The start-date for this position is flexible, but September-November 2024 is preferred.

  

The project will focus on combining theoretical and computational approaches (including machine learning) to understand fundamental aspects of collective cell behaviours. Examples of topics studied in the Baker group include collective migration driven by phenotypic heterogeneity, electrotaxis, fibrosis, and cell cycle regulation. The project will involve working ...
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 36-month,
fixed-term position, funded by the Simons Foundation. The start-date for this
position is flexible, but September-November 2024 is preferred.





The project will focus on combining theoretical and computational approaches
(including machine learning) to understand fundamental aspects of collective
cell behaviours. Examples of topics studied in the Baker group include
collective migration driven by phenotypic heterogeneity, electrotaxis,
fibrosis, and cell cycle regulation. The project will involve working closely ...
label
Postdoctoral Research Associate in Data-Driven Modelling of Collective Cell Behaviour
notation
171577
based near
page