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learning new statistical and computation tools. No prior knowledge in specific methods is required but it is preferable that the student can demonstrate abilities to learn new computational tools
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campaign to promote physical activity or encourage recycling) by evaluating whether behaviour or outcomes following the intervention are statistically different from before the intervention or among a
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Statistics and AI for Engineering and Smart Manufacturing
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Statistics and AI for Engineering and Smart Manufacturing School of Mathematics and Statistics PhD Research Project Competition Funded Students Worldwide Dr Wei Xing Application Deadline
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application. Applicants should have a 1st in an undergraduate degree with strong quantitative component (e.g., mathematics, engineering, physics, statistics, computer science) or a 2.1 in an undergraduate
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Using Multivariate Statistical Surrogate Models of Displacement Cascades To Simulate High-dose Irradiation Damage Department of Materials Science and Engineering PhD Research Project Directly Funded
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preferred. Advanced statistics experience is desirable, but training will be provided if necessary and support through supervision. Experience with practice-based datasets (e.g., from counselling/mental
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discipline), Data Science, or a related field. Strong quantitative skills, with proficiency in statistical software (e.g., SPSS, R, Python). Previous experience with research, particularly within psychology
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statistical analysis of quantitative data Strong communication skills Desirable Experience of conducting eye tracking research Experience of using R for data processing and statistical analysis An interest in
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February 2024 Details We frequently use mathematics in our daily lives, whether it be to make financial decisions, health decisions, or interpret statistics reported by the media. One of the most challenging