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Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience
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Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate predictions Ability to work in a team Ability to communicate orally in
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gender inequality impact mental health during the teenage years and early adulthood. The project consists of three work packages (WPs): • WP1 and WP3 will generate novel data in new school-based
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R or equivalent skills in another relevant language. We are not expecting you to be an expert in all forms of computer simulation, Large Language Models, or machine learning etc, but a working
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using CPRD data. The ARC South London Children’s and Young person theme is important as many children in south London experience high levels of poor health, and unequal health and care outcomes. We
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collaborative research group of Professor André Cobb, working at the forefront of foldamer research and cutting-edge synthetic methodologies (for information about the group, please visit http
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psychological support to help breast cancer survivors re-establish an adaptive mind-body connection. Data collection, data management, and secure data storage for questionnaire, psychophysiology, and biomarker
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generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS
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. This role represents a unique opportunity to generate biological insights from our large-scale research datasets including single-cell multiomic sequencing data from skin and blood to enable