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Clinical Research Fellow (AI-PROGNOSIS)

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Clinical Research Fellow (AI-PROGNOSIS)

About the Role

The post holder will be joining the Centre for Preventive Neurology at the Wolfson Institute of Population Health, Queen Mary University of London and will work within the Parkinsons disease (PD) group, whose studies focus on the clinical, genetic and biomarker aspects in people with PD and at risk of PD.

The Clinical Research Fellow will work on AI-PROGNOSIS, a project funded by EU Horizon/UKRI, aiming to advance PD diagnosis and care by developing novel, predictive AI models for personalised PD risk assessment and prognosis based on multi-source patient data and everyday digital biomarkers.

About You

Candidates must have a Medical degree (MB BS or equivalent) and an MRCP or equivalent post graduate qualification would be desirable. The Clinical Research Fellow will undertake research assessments and investigations as part of the clinical research team and under the supervision of the Consultant Neurologist. The post-holder will be expected to assist with specific aspects of AI-PROGNOSIS. These include clinical assessments, biological sample collection, and data analysis and quality control.

About the School/Department/Institute/Project

The Centre for Preventive Neurology is at the forefront of international research and brings together an expert team to carry out revolutionary new research into Dementia, Multiple Sclerosis, and Parkinson’s disease. The centre’s focus is on academic discipline, research, the translation of research into health strategies and their practical implementation.

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

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