Last Date: 08 April 2024
We are looking to recruit a Research Fellow to join the Research Centre for Optimal Health, in the School of Life Sciences at the University of Westminster, to work on a research project funded by a biotech company.
You will join an ongoing research project that focuses on the development and application of novel image processing techniques to large collections of clinical MRI data and using those derived measures for modeling of health, disease and aging in the UK Biobank.
As a key member of a multidisciplinary team, led by Professor Jimmy Bell and Dr Brandon Whitcher, you will be involved in a variety of projects to create new imaging biomarkers and expand the utility of these biomarkers to the entire UK Biobank population. The combination of the latest datasets, such as metabolomics and primary care data, with the rich collection of imaging and non- imaging measurements will be used to answer scientific questions of interest. You will manage your own academic research, coordinate both internally and externally with collaborators, and produce manuscripts for submission to leading scientific journals.
The successful candidate must be highly motivated and have an advanced degree (Ph.D.) in computer science, electrical or biomedical engineering, physics, statistics or related fields. Previous experience software development practices (version control, unit testing, CI/CD), cloud-based computing environments and GPU-based computing is preferred. Experience programming in Python is preferred. Knowledge of other languages, such as MATLAB, R or Julia, is a plus. Previous experience with machine learning or neural networks applied to large, unstructured collections of data is a plus. Previous experience with research focusing on biomedical image and signal processing, medical image computing or magnetic resonance imaging is advantageous but not required.
Our research team follows a hybrid work structure where employees can work remotely or from the office, as needed, based on specific tasks or personal preferences.
To apply for this vacancy please click above. Further information can be found in the job description and person specification, which can be accessed through link below.
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The University has adopted Smart Working principles to support and further our Equality, Diversity and Inclusion aims of being an inclusive, collaborative and flexible employer. Further details of Smart Working can be discussed at interview stage.
Closing date: midnight on 08 April 2024
Interviews are likely to be held on: 15 April 2024
Administrative contact (for queries only): [email protected]
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