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Field
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, particularly EEG; • Programming experience, particularly in R and Python; • Proficiency in statistical methods commonly used in psychology and neuroscience (ANOVA, linear models, etc.); • Familiarity with
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motivated and excellent candidates who will hold a Master’s degree (or equivalent) in computer science, mathematics, statistics, engineering, physics, or a related field. Candidates from the life sciences
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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and algorithms on graphs. Machine learning and deep learning
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development Process multi-model scenario data (IAMC format) into consistent indicators, figures and statistics, with version-controlled, reproducible code Contribute to / lead written outputs, including reports
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collaboration with a PhD candidate at the Methods and Statistics department, for example on complex data analysis, and the development of personalised visualisations for use by clinicians and patients. You also
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with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without identifying real
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longitudinal information on mental health, personality, socioeconomic circumstances, relationships, social integration and major life events. Using advanced statistical methods, you will investigate how
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command of spoken and written English and Chinese (including fluency in Cantonese) and demonstrate strong skills in statistical analysis, data management, and project coordination. Applicants should also
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. The department has a strong international research staff with expertise in dynamical systems, topology, geometry and algebra, as well as in stochastics (statistics, data analytics, probability). Faculty of Science