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the formation of the brain during embryonic development and in early postnatal life. This is based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan
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novel therapeutic strategies, and for anticipating the evolutionary trajectories of other viruses with pandemic potential. Our current research programme is structured around three central themes
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. About the role You will work closely with Prof. Hanna Kienzler, Prof. Stephani Hatch, and Dr Rebecca Rhead as part of the Centre’s ‘Marginalised Communities’ programme. This involves partnering with Black
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Institute and Centre Lead for Cancer Genomics and Computational Biology at Barts Cancer Institute, Queen Mary University of London). We welcome applications from all qualified candidates. Research staff
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-centred AI, digital twins, or related areas 3. Excellent publication record in high-quality journals and/or conference proceedings 4. Excellent programming skills, particularly in Python and/or C
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with preclinical rodent MRI, methods used for quantitative MRI, and/or pulse sequence programming are a plus. Ideally, applicants will have a proven research track record through peer review publications
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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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well as clinical phenotyping in participants. The work will involve close collaboration with other team members, driving the programme on aetiopathology of neuropsychiatric disease forward. It will also involve
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. Department: Global Health & Social Medicine. Contact details:Brenda Hayanga. brenda.hayanga@kcl.ac.uk Location: Strand Campus. Category: Research. About us Applications are invited for a Research Associate
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or dashboards) and shape the development of a future larger-scale cohort study. You will also be encouraged to lead and contribute to publications, funding applications, and public engagement activities