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across the study team including: overseeing data transfer agreements between institutions; version-controlling and archiving code and leading data cleaning, harmonisation and analysis. Throughout
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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer
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, contributing to open and reproducible workflows (code, metadata and documentation) in line with project and UKRI expectations. Prepare research outputs including papers, conference presentations and
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding
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design, interpret results and perform model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open
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Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code
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across the study team including: overseeing data transfer agreements between institutions; version-controlling and archiving code and leading data cleaning, harmonisation and analysis. Throughout
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. • Reviews participants medical records, collects and codes surveys, and verifies active status for participants. • Attends relevant meetings, and provides detailed written and verbal reports on participant
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discrete dislocation plasticity modelling of metals and a good knowledge of dislocation plasticity and solid mechanics. Fortran coding experience and knowledge of Abaqus, Fortran user subroutines and crystal
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relevant PhD or equivalent qualification/experience in a related field of study, and will have experience in the coding and development of RShiny apps. The successful applicant will be a nationally