641 embedded-system "https:" "https:" "https:" "https:" "St" "St" "St" positions at Monash University
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Effective allocation of tasks is essential for any socially living group. This project investigates self-organised task allocation, ie groups in which tasks are not centrally assigned to individuals
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Identifying vulnerabilities in real-world applications is challenging. Currently, static analysis tools are concerned with false positives; runtime detection tools are free of false positives but
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of Australia’s leading pharmaceutical research institutes and contribute to a globally significant research initiative. The Monash Institute of Pharmaceutical Sciences (MIPS) is seeking multiple Level A Research
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embedded in Schools / Departments and have strong links to the Gukwonderuk Unit. Only Indigenous Australians are eligible to apply for this position as it is exempt under the Special Measure Provision
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of the Australian Higher Education System,” which aims to analyse the Australian tertiary system using linked ABS and Department of Education data to inform policy on graduate earnings, peer effects, and field
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, cardiovascular disease, diabetes, neurological disorders, metabolic diseases, and reproductive health. This is a great opportunity to contribute your knowledge and expertise to the world of research at Monash
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-making and ensures the sustainable operation of teaching, research and service delivery activities. The position is responsible for providing financial support and guidance to managers and staff across
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requirements. The role contributes to the development of personalised interventions informed by both clinical expertise and lived experience. The position is responsible for supporting the coordination and
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Public transportation is vital for sustainable urban mobility, yet challenges like inefficient first- and last-mile connectivity, and over-reliance on private cars hinder its effectiveness
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications