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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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and models to monitor harms associated with AOD use. This project will use a suite of population-based sources and aim to identify locations and sociodemographic sub-groups most at risk of AOD harm
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coatings and impregnation of fibre forms Process / industrialisation of new fibre packaging Application of Paper diagnostic: Fibrinogen Application of Paper diagnostic: antibody Screening Micro Fibirilated
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at https://www.monash.edu/graduate-research/study/apply . How to Apply: To apply please follow the following steps: 1. Check that you are eligible to enrol in the program To be eligible for this scholarship
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I offer projects broadly related to supernova explosions and the final stages in the lives of massive stars. Specific topics of interest include fluid dynamics processes in stellar explosions and
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Maximum number awarded 2 Eligible courses Doctor of Philosophy-Civil Engineering https://study.curtin.edu.au/offering/course-research-doctor-of-philosophy---civil-engineering--dr-cvengrv1/ Eligibility
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I supervise a wide range of projects stellar astronomy. They include modelling stars in 1D or 3D, deciphering the origin of the elements (stellar nucleosynthesis), and observing using optical
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injection into a reservoir saturated by water from core scale up to the numerical cell or a reservoir is a challenge. For immiscible two-phase flow in layer-cake reservoirs, the models for pseudo relative
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ironmaking, addressing critical challenges in the transition to sustainable metallurgical processes. The successful candidate will develop a fundamental scientific framework to tackle key research questions in