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of social media trends, algorithms, and audience behaviours. Comfortable working with multiple stakeholders in a complex environment. Strong organisation and time management skills. A team player who
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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention. Despite many studies introducing various APR techniques, much remains to be learned, however, about...
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for the coordination and management of funded research and clinical trials across multiple clinical sites within NSW. This role is responsible for overseeing project staff, data collection, entry, and management
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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guarantees of FL. In this project, we aim at an ambitious goal - designing secure and privacy-enhancing algorithms and framework for FL and applying our designs into real-world applications. To achieve
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will be highly organised, detail-oriented, and capable of managing multiple priorities while delivering accurate, timely outcomes both independently and in a team environment. Advanced computer skills
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 12 days ago
and supervise staff, and to consult effectively with stakeholders from diverse cultural backgrounds. You will be highly organised, detail-oriented, and capable of managing multiple priorities while
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competing deadlines and are confident managing multiple tasks – from planning stakeholder workshops and coordinating data collection, to preparing research reports and ethics submissions – and you take pride
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delivering a proof-of-concept software solution. This role reports to Prof Flora Salim and has no direct reports. Salary, Level 7.1: $113,926 per annum + 17% superannuation Full time or Part time – 1.0 FTE
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countermeasures. The successful applicant will work closely with collaborators and co-investigators across multiple schools within SET on theoretical and algorithm development and implementation, assist