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large amounts of complex data. They should provide evidence of potential for research and publication at the highest level, as well as a strong interest in engagement in empirically-grounded, quantitative
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
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psychological or clinical mental health sciences Teaching is integral to the work of the institute. We have a large portfolio of masters level and undergraduate teaching in global health. We have recently
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub
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post is fully funded for 3 years and provides an opportunity to obtain a PhD. The project will enable the candidate to develop unique skills in complex linked data handling, geospatial analysis and
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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turbulence data, together with fine-scale profiles from standard Argo floats, to quantify rates of vertical and horizontal ocean mixing, and you will apply inverse methods to investigate the role
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with large data sets. You will join a European wide research group in the area of paediatric brain tumour trials with a keen focus on QoS. You will also be a member of the Clinical Neurosciences