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Field
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research in digital sociology, ethnographic methods, and human-AI relationships. Your responsibilities will include: Conduct research, analysis, and publication targeting diverse audiences, including
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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advancement. The position requires a doctoral qualification in behavioural neuroscience or a closely related field, along with demonstrated expertise in statistical analysis and a strong record of peer-reviewed
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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activities including project management, stakeholder engagement, data collection and analysis, and the development of written outputs for both community organisations and peer-reviewed journals. The Research
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(data aggregation and processing, database management, analysis, and visualisation). Operating within Unix-based environments (headless servers, HPC clusters), with a preference for experience managing
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design, data analysis, and dissemination of findings through publications and presentations. The successful candidate will have the opportunity to contribute to a collaborative and dynamic research
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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palliative care quality initiatives globally, PCOC supports clinical services through robust data collection, analysis, and quality improvement tools, with the aim of enhancing care experiences and outcomes