359 algorithm-development-"The-University-of-Edinburgh" positions at Monash University
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of achieving this purpose is the diversity of our staff. We welcome and value everyone's contributions, lived experience and expertise. When you come to work, you can be yourself, be a change-maker and develop
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, university, and stakeholders Develop project documentation, updates, and reports, while contributing to complex administrative and data-related tasks Provide expert advice and support to ensure excellence in
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meetings A working lunch at in-person meetings Training support for your role as an AEC member The opportunity to understand the cutting-edge science activities being performed at Monash Development
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visuals, performing spatial and temporal reasoning, and managing multi-step decision-making tasks. By developing specialised models for spatial reasoning and enhancing the integration of map-based tools
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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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complex administrative or technical functions and business systems involving significant resources Lead and develop a high-performing team with a strong customer focus Foster continuous improvement in
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). We’re offering an exciting opportunity for a Level A Research Assistant who will contribute to the University’s research efforts and develop their scientific expertise through focused and meaningful
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advice and in-depth analysis of complex health data. The role supports both independent and team-based research activities, including the development of manuscripts, conference presentations and funding
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, identifying molecular disease signatures and matching them with the most effective therapeutic interventions are essential. The Hudson‐Monash Paediatric Precision Medicine (HMPPM) Program aims to develop and
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the people who discover them The Opportunity This Research Fellow position sits within a Wellcome-funded initiative focused on evaluating animal models in mental health science and developing a publicly