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for the department’s quantitative data analysis, statistical modelling and business-intelligence capability – turning large and complex datasets into rigorous, decision-ready insight on brand, products, pricing
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candidate will develop, maintain and document scientific software and reproducible pipelines for the processing, standardisation, visualisation and analysis of human intracranial electrophysiological data
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for data processing, statistical analysis and visualisation. The candidate will play a leading role in the experimental and quantitative imaging components of the project, contribute to interpretation
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. Additionally, this role will involve writing the methodology section for manuscripts and collaborating on data analysis, data interpretation, and the writing and submission of the final manuscript. The position
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/41076 Job Number SE237024 Position Information Department or Unit Name Fowler School
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; or sustainability transitions. Research Methods: Demonstrate experience in designing and conducting rigorous qualitative and quantitative research, including the collection and analysis of primary and secondary data
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teaching skills and/or relevant industry experience in the Finance discipline. For more information on the School and course offerings, please visit https://business.smu.edu.sg If you are interested in
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participant inclusions, assessments, and experimental/narrative data collection. - Conducting qualitative and narrative analysis of data from both participatory and neuroimaging studies. - Managing
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education
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Posting Details Position Information Position Title Assistant Professor in Analysis, Mathematics Department Mathematics Posting Number F260089 Posting Link https://www.ubjobs.buffalo.edu/postings