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of ORCRIST: Optimized Ray-tracing for Cloud-Radiation Interaction Simulations in 3D using GPUs and Machine Learning, funded by the NWO Open Technology Programme. Sunlight and heat radiation move
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PhD Scholarship Opportunity: Secure Quantum Computation on Shared Quantum Processors Job No.: 699200 Location: Clayton campus Melbourne Employment Type: Full-time Duration: The scholarship may be
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between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also explore hybrid
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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
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with support from biostatisticians within the group. The bioinformatic work will be performed using high performance cloud computing solutions. This project offers the opportunity to utilise emerging
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest
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into insight). To tackle this, the research blends ideas from knowledge graphs, stream processing, database theory, logic, edge and cloud computing, and Artificial Intelligence into a single coherent framework
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related schemes, where the noisy many-qubit dynamics can be treated as part of the computational resource rather than as an error that must be fully removed. The project will combine cloud-based quantum
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the computational resource rather than as an error that must be fully removed. The project will combine cloud-based quantum computation and cluster-based classical simulations. Candidate approaches will be compared