14 parallel-computing-numerical-methods Postdoctoral positions at King's College London in United Kingdom
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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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equivalent experience. Knowledge of and interest in research at the intersection of ethnicity and health. Strong experience in qualitative research methods (including research ethics, interviewing, and
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& Neuroscience (IoPPN), the post-holder will support a five-year programme of research across three priority areas related to substance use and mental health. Working under the direction of Professor Paolo Deluca
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motivated and ambitious postdoctoral researcher with a background in adolescent mental health, experience sampling methods, digital phenotyping, or related disciplines. In your role, you will lead on the
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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, state-of-the-art laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About the role We are looking for a highly motivated
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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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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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, Science and Technology Studies (completed, or to be completed before post start date), or a cognate field. 2. Experience of qualitative archival or interview-based research methods in a relevant field
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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