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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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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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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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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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United Kingdom Application Deadline 31 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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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
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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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SAXS. Excellent command of written and spoken English. Ability to work independently and collaboratively. Well-documented list of publications in renowned, subject-relevant peer-reviewed journals. Oral