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-relevant media, in the application of quantum information driven tools, such as tensor networks or convex relaxations, to the study of complex quantum systems Excellent command of English, both written and
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge
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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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previous GEM initiatives, including the Inclusive Cities programme. You will have a passion both for academic research and for knowledge exchange with policy makers, NGOs, and other stakeholders and an
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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reputation. Experience working with sequence data, programming in python or similar language (e.g. R), and a strong interest in infectious disease epidemiology are essential for the post. For appointment
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scientists, the funders and the public in English Proven ability to keep accurate records and write to a high standard in English * Please note that this is a PhD level role but candidates who have submitted
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media, contributions in international conferences in the field of bioanlytical chemistry Didactic skills/experience in internship supervision Excellent knowledge of English (level C1), German (C1) team