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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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this position and how you learned about it The start and end dates during which you would be available to fill this position Your familiarity with programming languages (e.g. Stata, Python, R) Your prior
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taught by a higher education institution in conjunction with an R&D unit in Sustainable Chemistry or related areas. Experience in characterization of innovative and emerging ingredients. In case the Master
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enrolled and/or attending a non-degree course taught by a higher education institution in collaboration with an R&D unit. Proven experience, evidenced by scientific/academic publications and/or conference
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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at UQ . Questions? Contact A/Prof Patrick Harris at p.harris@uq.edu.au for role-specific queries. For application support, email recruitment@uq.edu.au and quote job reference R-55549. Want to Apply
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at 11.00pm AEST (Job Reference Number: R-56320).
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but not required: expertise in bioinformatics for scRNA-seq data analysis (e.g., Seurat, Cell Ranger, R/Python). Send a letter of interest, current curriculum vitae, and names and contact information
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to produce two journal articles during their contract. The successful candidate must demonstrate good competence in quantitative research methods and be proficient with statistical software such as STATA or R
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within the scope of the R&D project AI2PI, Artificial Intelligence to Pedagogical Innovation, reference CIEC-BIL-09-2025-SEP-211051619, financed by European Union, under the Erasmus+ Teachers Academies