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, collaborative community Be surrounded by extraordinary ideas - and the people who discover them Multiple roles, evaluation, quantitative research experience The Opportunity The Institute for Safety Compensation
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). The reason for this is that the candidate will need to be trained in theories about humans and experimental methods. Meet H1E requirements for Monash FIT PhD entry.
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Level 8 (plus 17% employer superannuation) Utilise your strong technical aptitude across a complex multi-university structure. Process complex information from multiple data sources Be part of a team that
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common purpose. Underpinning your approach are your intellectual capacity and creative growth mindset, stamina and agility to manage multiple priorities. Your experience may span higher education or other
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analyse and harmonise large-scale claims, service and payment data across multiple jurisdictions—delivering insights that can influence national injury prevention and health policy. You’ll be part of
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programming. An ability to code in C, C++ or Rust is also necessary. Candidates with experience or interest in column generation, cutting planes, polyhedral geometry and graph theory are especially invited
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, and data protection Apply engineering principles, including version control (e.g., Git), CI/CD pipelines, and infrastructure-as-code (IaC) to ensure robust and repeatable deployments across both
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environmental stewardship in Antarctica and the Southern Ocean. The ideal candidate will have extensive experience in developing complex proposals for large-scale, multimillion-dollar projects involving multiple
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Machine learning, dynamical systems theory, control theory, signal processing, network theory, neuroscience are all relevant and a student should have strong knowledge in at least one of these and a
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of research and teaching activities involving animals to ensure the use of animals is justified and has scientific merit and animal welfare is prioritised, in accordance with the Australian Code for the care