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utilised by RMIT staff and students globally. The incumbent is expected to rapidly gain expertise in the Campus Solutions platform, Peoplecode scripting, the SAMS data model, and RMIT's customisations
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the strategic approach to high dosage tutoring aligned with training Track, analyze, and synthesize student progress data based on high dosage tutoring model Communicate with the Coordinator Arrive in a timely
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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to Tutor Coordinator and meet with project participants on their respective campuses weekly to assist with developmental and college-level coursework and test preparation. Will serve as a role model
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regulatory requirements for student supervision · Ability to function in the role as a licensed health professional and health professional educator · Ability to model positive culture of a healthcare
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technicians and faculty Knowledge of distance learning educational model required Able to gather, analyze, evaluate, and integrate information electronically In-depth knowledge of distance learning educational
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& Validation Ensure data accuracy, consistency, and reliability across data models and reporting outputs. Implement data validation, testing scripts, and automated quality checks. Troubleshoot data discrepancies
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-edge genome engineering tools and in vivo disease models to address fundamental and translational questions in disease biology. Opportunities for cross-disciplinary collaboration with leading experts in
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, harmonization, aggregation and analysis of clinical data for a large ophthalmology repository. Extract information from unstructured electronic health record text using large language models (LLMs) and clinical
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https