38 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions at Monash University
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preparation, and data analysis Assist in systematic reviews and grant development What you’ll bring: An honours degree or higher in a biomedical, allied health, or clinical research field Experience working in
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for professional development and cross-sector knowledge exchange. The ideal candidate will hold a doctoral qualification or possess equivalent research experience in a relevant field, with demonstrated expertise in
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, climate and sea level, develop key modelling technologies for ice sheet research and significantly contribute to Australian climate research. We encourage applications from candidates with strong
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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and safety of perioperative care. Human Factors is a developing area within the department, and our priorities are: Raising awareness and knowledge of Human Factors through educational activities and
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of Infrastructure, Transport, Regional Development, Communications and the Arts. This role will support the development of a scalable Register on motorcycle and motorised small wheel vehicle fatalities (2016–2023 and
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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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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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within the School. Your key contributions Conduct independent and collaborative research with real policy relevance Prepare high-quality publications, research proposals and data-driven insights Provide
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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