30 parallel-computing-numerical-methods Postdoctoral positions at King's College London in Uk
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: Essential criteria PhD in research methodology, social sciences, or a closely related field (or near completion). Demonstrated experience in participatory, visual embodiment, and interpretive research methods
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affecting the retina, including inherited retinal degeneration. The programme has already led to first-in-human clinical trials of gene and cell therapy for eye disease, and we are now in the pre-clinical
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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presentation Human study experience Skills in the development and running of analytical assays Desirable criteria Skills in product design and operating on computer-aided design CAD software e.g. Fusion 3D
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: Biostatistics & Health Informatics. Contact details:Victoria Ratti. victoria.1.ratti@kcl.ac.uk Location: Denmark Hill Campus. Category: Research. About us: Applications are invited for a Postdoctoral Research
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of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics, all departments highly rated in research activities and a wide-ranging portfolio
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical