Research Fellow in Machine Learning and Quantitative Imaging Biomarkers

This publish is full time, 35 hours per week and is fastened time period till 31 Might 2025.

We’re in search of a proficient researcher to affix our crew on the Analysis Centre for Optimum Well being. As a part of our ongoing analysis mission, you’ll concentrate on growing and making use of cutting-edge picture processing strategies to in depth collections of medical photos, ensuing within the creation of novel biomarkers. Your work will drive analyses to discover age-related and health-related outcomes utilizing quantitative biomarkers derived from imaging and healthcare datasets. On this function, you’ll contribute to our analysis and growth efforts, and take a lead function in writing scientific papers. Be part of us in advancing healthcare by way of modern analysis!

As a part of our thrilling analysis mission, you’ll concentrate on biomedical knowledge evaluation, medical picture computing, and machine studying. Whereas earlier expertise in these areas is advantageous, it’s not important. Familiarity with magnetic resonance imaging (MRI) is most popular. The best candidate will maintain a PhD in a related discipline (e.g., Pc Science, Bioengineering, Biology, Knowledge Science, Statistics) and possess robust coding abilities in R or Python. Proficiency in dealing with massive datasets and understanding programming processes and finest practices for knowledge evaluation is important. Expertise with biomedical picture processing, machine studying, high-performance computing environments, statistical evaluation, and knowledge science strategies is fascinating. Information of human physiology and anatomy is a plus. Familiarity with Linux methods and Git/GitHub can also be useful.

The candidate can be anticipated to speak the outcomes derived from knowledge evaluation, main and contributing to analysis stories and papers meant for publication in scientific journals and have a robust willingness to be taught and adapt to new challenges.

Our analysis crew follows a hybrid work construction the place workers can work remotely or from the workplace, as wanted, based mostly on particular duties or private preferences.

To use for this emptiness please click on above. Additional data could be discovered within the job description and particular person specification, which could be accessed by way of hyperlink under. 

On the College of Westminster, variety, inclusion and equality of alternative are on the core of how we have interaction with college students, colleagues, candidates, guests and all our stakeholders. 

We’re absolutely dedicated to enabling a supportive and secure studying and dealing setting which is equitable, various and inclusive, is predicated on mutual respect and belief, and during which harassment and discrimination are neither tolerated nor acceptable.

The College has adopted Good Working ideas to help and additional our Equality, Variety and Inclusion goals of being an inclusive, collaborative and versatile employer. Additional particulars of Good Working could be mentioned at interview stage.

Deadline: midnight on 08 April 2024

Interviews are prone to be held on: 15 April 2024