256 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Australia
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This Scholarshipis offered to support a full-time PhD student commencing doctoral research in Managing Supply Chain Resilience and Sustainability in Industry 5.0. The Ph.D. project explores a
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PhD Scholarship - Integrated Thermochemical Conversion of Lignocellulosic Biomass for High-Value Chemicals and Fuel-Grade Bio-Slurry Job No.: 685952 Location: Clayton campus Faculty / Portfolio
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program
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QUT PhD. The duration includes an extension of up to 6 months if approved for your candidature. This is the full-time, tax-exempt rate which will index annually. In addition, you will receive a top-up
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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PhD Scholarships in Climate and/or Environmental Change Job No.: 683855 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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We are seeking an outstanding candidate to undertake a Psychology research project in a co-funded industry-based PhD titled: Whose problem is it anyway? Navigating shared responsibility for child
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-performance computing (HPC), Bragg Crystallography facility, and Adelaide Proteomics Centre. Our collaboration with Monash University further extends our access to advanced 300 kV Titan Krios and Helios 5 UX
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I am interested in the most catastrophic and explosive collisions in the Universe, such as the mergers of neutron stars and black holes. I study these using both gravitational waves and electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our...
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data