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In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite formation
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machine learning approaches show issues in model performance and efficiency and vulnerability towards the application of noise over a large number of distributed models. These issues should be overcome by
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the project Evidence of research ability, such as a digital copy of a Masters or Honours thesis A digital copy of academic transcripts A CV including any publications, awards, relevant professional experience
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-based molecular biophysics project of medical significance, funded by the National Institutes of Health, USA. The Computational Biophysics Group develops advanced physical and chemical simulation
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Veluswamy (ganesh.veluswamy@rmit.edu.au ) or Prof. Kalpit Shah (kalpit.shah@rmit.edu.au ); Provide a CV that includes any publications and the contact details of 2 referees; an electronic copy of your
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transcript, a research proposal addressing the scholarship topic, using the required research proposal template , as well as a writing sample (e.g. copy of an article/essay/thesis you have written
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I am an experimental particle physicist that works on the search for phenomena that are beyond our current theoretical understanding in terms of the Standard Model of Particle Physics. The research
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) with the following information to discuss eligibility: An academic CV that includes any publications/awards and the contact details of two referees A copy of electronic academic transcripts. A cover
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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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EOI, nominate Associate Professor Francesca Frentiu as your proposed principal supervisor, and copy the link to this scholarship website into question 2 of the financial details section About the