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pipelines (80% plastic, 20% metal) for distribution. Despite this potential, there are concerns regarding the compatibility of the materials used in gas transport with hydrogen and the feasibility
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. Magdalena Plebanski via magdalena.plebanski@rmit.edu.au A copy of electronic academic transcripts A CV that includes any publications/awards and the contact details of two referees. To apply, please submit
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Zhongzheng Wang as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the Financial Details section. About the scholarship Background Two PhD positions
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compartmental models for RSV developed within the STAMP-RSV program by tailoring an established software library for individual simulation to the Australian RSV transmission context. Information to parameterise
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CSIRO requirements. Essential skills required: Robust academic background in biochemistry, materials science, or a related field, underpinned by proven laboratory research experience, particularly in
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qualifications, academic achievements, list of publications, work history and references A copy of your academic transcript(s) Enquiries Dr Karen Little, karen.little@monash.edu , Business Manager, ITTC
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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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