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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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involve a lot of experiments using DL/AI methods. We will use the Monash <b>High</b> <b>Performance</b> <b>Computing</b> platform (MASSIVE) to do the experiments. Required knowledge You must have experience in Deep Learning, and have strong programming skills. Learn more about minimum entry...
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Convolutional Neural Networks", ICML 2021 - "Privacy-Preserving Feature Selection with Secure Multiparty Computation", ICML 2021 - "High Performance Logistic Regression for Privacy-Preserving Genome
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Convolutional Neural Networks", ICML 2021 - "Privacy-Preserving Feature Selection with Secure Multiparty Computation", ICML 2021 - "High Performance Logistic Regression for Privacy-Preserving Genome
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during cyclic injection processes using microfluidic experiments and pore-scale modelling. You will gain access to the advanced microfluidic fabrication facilities as well as high performance computing