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, bacterial cell culture, biochemistry assays, pipetting, autoclaving, coding, organic synthesis, NMR and IR spectroscopy, and computational data analysis. This engagement is scheduled for one-year in duration
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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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, and anomaly detection. Build simulation pipelines and, where applicable, hardware-in-the-loop or lab prototypes; manage datasets and reproducible code. Academic Writing Lead and co-author journal and
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experience managing and analyzing complex datasets using R, Stata and/or SAS. Preference will be given to candidates with proficiency coding and managing multiple large datasets and experience estimating
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and qualitatively. They must also have experience developing and adapting qualitative coding schemes based on dialogue and behaviors (from video, audio, eye movements, and log file data), as
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model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open research outputs. Support and lead
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. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful
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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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statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS, R, Jamovi and JASP). Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g
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with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g., in R, MATLAB, Python). Experience with research project management. Experience with supervising research staff and students