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administrative tasks. Qualifications and Skills You should have a PhD (or be near completion) in Sociology, Psychology, Education, Statistics, or any related field. You should have a strong interest in empirical
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links between online polarization and a multidimensional perspective on mental health and wellbeing. Using advanced methods in statistical modeling, NLP, HCI, and experimental design, it will also test
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knowledge and hands-on experience in data collection, secure data storage, and statistical analysis, adhering to open science practices and data protection regulations. Understanding of Randomised Controlled
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
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the development of study protocols in collaboration with PPIE representatives for ethical review submission. Strong knowledge and hands-on experience in data collection, secure data storage, and statistical
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show evidence of understanding, expression and application of concepts and methods. Strong data analysis skills, especially in applied econometrics and statistical methods within health economics are
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skills, especially in applied econometrics and statistical methods within health economics are essential as is the ability to work effectively independently and collaboratively. Diversity Committed
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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neurodiversity to work within established research programmes. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent communication skills and the
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techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data. Depending on the results obtained in the first year, the post can