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analyses, and you should be comfortable with developing multivariable regression models (eg. logistic regression, Poisson regression) and you will be supported to develop additional statistical expertise in
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wet lab techniques, such as western blotting, RT-qPCR, molecular cloning, etc. Experience in cell culture, in particular iPSC culture. Experience in statistical analysis and use of biocomputational
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, developmental sciences, genetics) with distinction is desirable, but not essential. Strong statistical skills, and interest in individual differences and developmental psychopathology, are essential. Applicants
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dementia Objective: Compare genetic variants associated with cortical visual functioning and visual-led dementia. This studentship will incorporate neuropsychological, statistical and imaging genetics
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statistically evolving conditions where mean strain is significant but not excessive.The turbulence cascade dynamics will be analysed using advanced theoretical tools (e.g. Karman-Howard-Monin-Hill equations) and
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quantitative statistical analysis of human and/or acoustic research data Experience in or willingness to learn designing, conducting, analysing, and writing up perceptual, psychological experiments Familiarity
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related subject. Good knowledge in quantum mechanics and statistical mechanics is expected. Some experience with molecular simulation and scripting languages (e.g. python) is a plus. The start date
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, or social sciences, and have experience in both quantitative and qualitative data collection. They should possess advanced SPSS skills for statistical analysis, demonstrate competency in project coordination
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quantitative statistical analysis of human and/or acoustic research data Experience in or willingness to learn designing, conducting, analysing, and writing up perceptual, psychological experiments Familiarity