Research Assistant
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The Centre for Medical Image Computing (CMIC) combines methodological researchers from the Departments of CS and Medical Physics & Biomedical Engineering (MPBE)…...
UCL’s Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England. The Centre for Medical Image Computing (CMIC) combines methodological researchers from the Departments of CS and Medical Physics & Biomedical Engineering (MPBE) with biomedical and clinical groups in the School of Life and Medical Sciences. The interface of engineering with medicine, where CMIC specialises, is a dynamic and exciting place to do cutting-edge research. CMIC is a world leader in medical imaging research, with particular strengths in artificial intelligence and machine learning applied to healthcare. The candidate will join the Machine-learning, AI, Neuro Imaging Focusing On Longevity and Dementia (MANIFOLD lab, https://manifold.cs.ucl.ac.uk/), led by Prof James Cole, and work closely with the UCL Dementia Research Centre (DRC).
About the roleThe role involves working at the Centre for Medical Image Computing (CMIC), collaborating closely with the Dementia Research Centre (DRC) to work on a large-scale neuroimaging analysis project, using normative modelling to move towards precision medicine for Alzheimer’s and related dementias. The role will involve managing large neuroimaging datasets, running data processing tasks and assisting report preparation, alongside coordinating patient & public involvement/engagement activities. This role is funded until December 2025 in the first instance.
About youThe role involves working at the Centre for Medical Image Computing (CMIC), collaborating closely with the Dementia Research Centre (DRC) to work on a large-scale neuroimaging analysis project, using normative modelling to move towards precision medicine for Alzheimer’s and related dementias. The role will involve managing large neuroimaging datasets, running data processing tasks and assisting report preparation, alongside coordinating patient & public involvement/engagement activities. A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ‘Apply Now’ button. If you have any queries regarding the vacancy or the application process, please contact James Cole (james.cole@ucl.ac.uk).
What we offerAs well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: - 41 Days of holiday (including 27 days annual leave 8 bank holidays and 6 closure days) - Hybrid Final Salary Pension Scheme - Cycle to work scheme and season ticket loan - On-Site nursery - On-site gym - Enhanced maternity, paternity and adoption pay - Employee assistance programme: Staff Support Service - Discounted medical insurance
Our commitment to Equality, Diversity and InclusionAs London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/. Our department holds an Athena SWAN Gold Award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.
Information :
- Company : University College London
- Position : Research Assistant
- Location : London
- Country : GB
How to Submit an Application:
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Post Date : 28-05-2024
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