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Lillo liliana.de_lillo@nottingham.ac.uk . Applications sent to this e-mail will not be considered. Closing Date: 08 Oct 2025 Category: Research and Teaching (R&T) Where to apply Website https
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and sound judgment in data analysis and interpretation Proficiency in R or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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visualization in R and/or Python. Ability to work closely with experimentalists to ensure analyses complement experimental goals and enhance data interpretation. Advanced Computational Skills: Proficiency in
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Requirements: Research grants are intended: - for students enrolled in a degree-conferring course to carry out R&D activities with the aim to consolidate their scientific training through the development
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performance relative to opportunities when assessing suitability for the role. Applications close Saturday 1 November at 11.00pm AEST (Job Reference Number: R-56794).
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, polygenic scores). Proficiency in statistical methods. Basic programming skills (e.g., UNIX/Linux, Python, R). Experience leading/managing a research project. Excellent scientific writing skills. Language
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computing discipline. Expertise in metadata standards, ontologies, and data architecture within health research settings Strong experience with Python/R for data processing, NLP and semantic web technologies
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must have a PhD in Bioinformatics, Computational Biology, or a closely related field (or be nearing completion of their qualification). You will have demonstrable experience in programming with R and a