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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
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principles of the Athena SWAN Charter . The Project We invite applications from outstanding PhD candidates with undergraduate or postgraduate qualifications in software/systems engineering, or computer
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The Adelaide Graduate Research School (AGRS) and Akuru are partnering to create an internship opportunity for a University of Adelaide PhD student, to contribute to the following project. About the
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science to improve health outcomes for women and their families in public healthcare settings. Your PhD research will form part of a wider research program focused on implementing lifestyle improvement
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fabrication facilities as well as high performance computing (HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program. Eligibility criteria The successful candidate must meet the minimum academic entry requirement for admission
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group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
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to $5000 (total) for computer / software / conference attendance to present PhD results. Scholarship Details Maximum number awarded 1 Eligible courses Higher degree by Research (PhD) – in Health Sciences
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, such as a research masters or honours year to meet the selection requirements into the doctoral program (see Monash University PhD entry requirements ) Be enrolling full-time and on campus Not already hold