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below For commencement Term 1 2027 Other Application See Further Information on this page for the application process. Outline The Academic Achievement Award (AAA) has been established to encourage
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Skip to content Intelligent edge computing for adaptive demand response management: a distributed multi-agent approach (CSIRO Industry PhD Scholarship) Future student scholarship The CSIRO Industry
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This Scholarship is available for all subject areas. For Māori and/or Pacific students wanting to pursue pathways into academic careers. Eligibility For applicants of Māori and/or Pacific descent who
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Scholarship German Academic Exchange Programme (DAAD): Postdoctoral Researchers International Mobility Experience Application is required. Key scholarship details Application status Open for
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel
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education, pursuing their own research project during the mobility period, parallel to joining a research group and having a host supervisor at Lund University. For information about eligibility and selection
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 16 hours ago
Macquarie, Sydney, or Wagga Wagga. Approved countries Africa Ghana Kenya Nigeria South Africa Latin America and Europe Brazil Colombia Turkey Middle East Central Asia Jordan Kazakhstan Saudi Arabia
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open to work with researchers with varying academic backgrounds. Those with experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler
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students a chance to explore cutting-edge concepts in AI-driven infrastructure management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research
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computing strategies, this project focuses on deploying ML models on real-world distributed infrastructures, improving system performance, scalability, and efficiency by optimizing resource usage (e.g