16 Jan Research Assistant – Biomedical Imaging and Artificial Intelligence
Research Assistant – Biomedical Imaging and Artificial Intelligence
Oxford · Full time
Job Details
Research Assistant – Biomedical Imaging and Artificial Intelligence
Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF
The Nuffield Department of Population Health (NDPH) contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching.
We are seeking a Research Assistant to be part of a team working on biomedical imaging, multiple aspects of machine learning and analysis methods. The primary focus of this role is to develop novel biomedical image analysis and machine learning methods to analyse computed tomography (CT) and positron emission tomography (PET)/CT scans to identify therapy-resistant disease of lung cancer. You will be responsible for managing your own research and administrative activities, contribute to wide project planning and gather/analyse data.
To be considered, you will hold an Master’s degree in life sciences, engineering, mathematics or computational, have experience in the use of biomedical/clinical imaging data, have proven experience in programming (Python preferably) for medical imaging processing and machine learning and excellent organisational skills, as well as a good team player.
This is a full time, fixed term post (part time considered) for 18 months.
The closing date for applications is noon on 17th January 2024.
You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.
Contact Person : HR Recruitment
Vacancy ID : 169875
Contact Phone :
Closing Date & Time : 17-Jan-2024 12:00
Pay Scale : STANDARD GRADE 6
Contact Email : recruit@ndph.ox.ac.uk
Salary (£) : £32,332 – £38,205 per annum
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Research Assistant – Biomedical Imaging and Artificial Intelligence JD
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