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to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable
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Gained: Students will study sustainability in computing, including integrating AI with real-time energy data and carbon monitoring, contributing to low-impact, sustainable cloud operations. Distributed
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Centre for Health Economics, Monash Business School, Integrated PhD Program 2027 Fully Funded 4.5-Year PhD in Health Economics - Monash University (Melbourne, Australia) Job no.: 625101 Location
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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systems in AWS cloud environments Contributing to platforms used in educational and e‑learning contexts, including Canvas LMS Working with content‑driven systems and CMS platforms such as Wagtail Ensuring
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. "Studying the origin of the new discovered class of weak CN stars in the Magellanic Clouds using stellar variability" "How do stars merge? Studying the merger between low and intermediate-mass main-sequence
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people achieve positive outcomes in diverse areas of their lives including education, and physical and mental well-being. Despite their potential, existing social robots often fail to be adopted and
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this goal, we expect to deeply and comprehensively explore the following directions: 1) Investigate privacy-enhancing techniques (e.g., differential privacy and/or secure multi-party computation) and design
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows
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program advancing how movement, sleep and everyday behaviours shape cardiovascular, brain and mental health. Based at BrainPark, this role places you at the heart of innovative research focussed on real