The purpose of this Postdoctoral Role in Image Analysis is to collate and curate data from MRI and CT studies conducted on patients and volunteers, as part of the TBI-REPORTER initiative. The postholder will develop, refine, and execute imaging analysis pipelines, both independently and in conjunction with other data, such as clinical outcomes, to establish meaningful relationships. Analysis pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology and in vivo work would be desirable. Excellent organisational skills and the ability to work as part of a team, as well as independently, are also essential. The role holder will have familiarity with standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other academic healthcare institutions in the UK and internationally, and with industry partners. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £34,132) moving to Research Associate (Grade 7) upon confirmation of your PhD award. Informal enquires are welcome and should be directed to tbi-reporter@medschl.cam.ac.uk in the first instance. Fixed-term: The funds for this post are available until 30th September 2028 in the first instance. Once an offer of employment has been accepted, the successful candidate will be required to undergo a standard Disclosure and Barring Service check. We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Closing date: 17th June 2025 Interviews: to be confirmed Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please include details of your referees, including email address and phone number, one of which must be your most recent line manager. For information about how your personal data is used as an applicant, please see the section on Applicant Data ( https://www.hr.admin.cam.ac.uk/hr-staff/hr-data/applicant-data ) on our HR web pages. Please quote reference RC46120 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Further information Further Particulars Apply online