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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
hands-on access to Australia’s national supercomputing infrastructure—including world-class HPC clusters, large-scale GPU systems, cloud platforms, and high-performance file systems. You’ll support
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frameworks (e.g., PyTorch). Familiarity with GPU-accelerated environments, virtualization tools, and prototyping using real testbeds (e.g., SDR). We expect a diploma in computer science or telecommunication
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strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
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specialists and set clear priorities to realize projects effectively and on time, building infrastructure that makes complex analyses faster and more efficient. Your team optimizes virtual computing power (GPUs
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. Preferred Qualifications : * Experience in programming on modern computing platforms including x86 and ARM-based CPUs and accelerators such as NVIDIA or AMD GPUs. * Experience working in an academic research
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simulation software related to radiation transport and computational fluid dynamics for multithreaded CPU and GPU computing platforms. Conduct performance profiling of existing scientific software, identify
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like OpenCV. ● Cloud & HPC Infrastructure: Experience configuring and managing environments in AWS/Azure or High-Performance Computing clusters for GPU-intensive tasks. ● Generative Media: Hands
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managing environments in AWS/Azure or High-Performance Computing clusters for GPU-intensive tasks. Desired: Master’s degree in computer science, Data Science, Digital Humanities, or a related field
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configuring and managing environments in AWS/Azure or High-Performance Computing clusters for GPU-intensive tasks. Desired: Master’s degree in computer science, Data Science, Digital Humanities, or a related
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community. We provide the resources to match your ambition: Industrial-Scale Computing: Exclusive access to massive GPU clusters and high-performance computing. Guaranteed Talent Pipeline: Generous