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This research project is to understand how machine learning can be exploited in the areas of target detection and tracking. Develop tracking expertise in a new student who can subsequently work
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testing advanced particle detectors and electronics, learning the modern data analysis with either simulation or real data in COMET to search for the muon rare process
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, Machine Learning, and Software Engineering. The HPIS group consists of leading computer science experts and works closely with different industries, e.g., Australian Defence, Governments, Software
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Python programming is essential. • Experience in developing Machine Learning models with TensorFlow or PyTorch is desirable How to apply Applicants are required to submit an application to supervisor Rajib
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world, and with world-class photonic facilities at Monash. "Quantum nanophotonic chip" "Multimode imaging through ultrathin meta-optics" "Advancing optical imaging with flat optics" "Machine-learning
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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to employ the density functional theory, machine learning interatomic potential, molecular dynamic simulations, and Monte Carlo simulations for the much-needed knowledge of how some typical solute atoms
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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
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team of collaborators and stakeholders with expertise in biomechanics, spatial and speech sciences, computer vision, machine learning, and clinical experience in the diagnosis/management of Speech Sound
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with your current location and preferences. Our project aims to create an intelligent recommender system that seamlessly integrates geospatial data, leveraging advanced algorithms and machine learning