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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
department Methodology and Statistics gives you the opportunity to kickstart an academic career. Your position Research: The Future of Mixed Methods Research is Rigorous, Open, and Scaleable through Automation
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the brain–body axis. The project will extend ongoing research by considering population diversity and heterogeneity in exposure profiles and biological responses. You will apply statistical modelling
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-analysis plans and research papers preparing data from existing population surveys, like the Longitudinal Aging Study Amsterdam (LASA) (www.lasa-vu.nl ) carrying out quantitative statistical and qualitative
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was already teaching statistics. It started as just a side job, but I quickly discovered how much I enjoyed helping others learn. After graduating, I began working as a lecturer and researcher at a university
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of research); has experience with large-scale, complex data sets and advanced statistical methods; enjoys doing research and reporting the results in scientific articles; want to share scientific knowledge with
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Communication Science Mustafa Akpinar is a PhD candidate at the Behavioural Science Institute and a lecturer in Communication Science. "While studying at Radboud University, I was already teaching statistics. It
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literature reviews across a number of fields in behavioural and social sciences. Develop and run controlled behavioural experiments (online and/or lab-based). Apply advanced statistical methods appropriate
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studying at Radboud University, I was already teaching statistics. It started as just a side job, but I quickly discovered how much I enjoyed helping others learn. After graduating, I began working as a
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-scale genetic data. The project is embedded in the Statistical Genetics Psychiatry Group within the department of Psychiatry at Amsterdam UMC and is funded by the European Research Council (ERC). As a PhD
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parallel, it produces new, high-resolution computer models of the warm Last Interglacial period. Finally, PAST creates new knowledge by synthesising these two approaches through advanced statistics. This PhD