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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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’ project. Develop code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of customized scripts and perform numerical simulations. Closely collaborative and
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members. ● Conduct training sessions on statistical methods, programming, and analytical tools as needed. Quality Assurance: ● Ensure adherence to best practices in data quality, code review
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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
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real
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the University and with external collaborators. Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research
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, principles and theories. Develops tools and code to conduct advanced analyses of ocean and atmosphere datasets. Adheres to University and unit-level policies and procedures and safeguards University assets
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and robustness across varying noise conditions. Familiarity with PAM workflows and tools and/or marine bioacoustics is required. Strong Python skills, ability to document code and workflows, and
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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