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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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research methods and develop skills which will be valuable for future research practice. The role would be ideal for a candidate with an interest in the rapidly expanding fields of immunopsychiatry and
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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. The candidate will be required to perform hand-on sample extraction, and bioanalysis in biological fluids (serum, breast milk, dried blood samples), including but not limited to method development and validation
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techniques Experience in protein expression and purification methods Good understanding of structural and molecular biology and biochemistry * Please note that this is a PhD level role but candidates who have
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responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design
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and immunome as well as clinical phenotyping in participants. The work will involve close collaboration with other team members, driving the programme on aetiopathology of neuropsychiatric disease
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jointly funded by Marie Curie and the Alzheimer’s Society. This mixed-methods research project will examine patterns in primary and community-based health and care service use among people with dementia
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models