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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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the optical-to-radio wavelength range, from major surveys and space telescopes (e.g: Gaia, SDSS, JWST, Hubble, Roman, Rubin-LSST). These are analysed using advanced machine learning and data-driven methods. My
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PhD Scholarship Keep military drones hidden from enemies! This PhD develops cutting-edge stealth communication tech so UAVs can coordinate and sense their environment without ever revealing
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Jets" "Strings in Quantum Chromodynamics" "Topics in Heavy-Quark Physics" (with Prof Ulrik Egede) List of Past Projects I have supervised (3rd-year, honours, and PhD). web page For further details
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for this scholarship The application for PhD admission will only be assessed where: The applicant is successful in being awarded the scholarship Prior to submitting an application for the scholarship, prospective
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Engineering PhD - Indigenous Job No.: 693049 Faculty: Faculty of Engineering Location: Clayton campus Duration: 3.5-year fixed-term appointment Open to: People who identify as Aboriginal and/ or
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Application dates Applications close30 September 2026 What you'll receive You'll receive a stipend of $41,555 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD (1.75 years
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PhD Scholarship This PhD explores organised sport as a key setting for developing physical literacy in children and adolescents. This PhD project aims to advance understanding of how organised sport