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(CHF), tailored to complex geometries typical of fusion reactor cooling systems. Compile a comprehensive dataset of boiling parameters to support machine learning-based analysis of two-phase flow
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equations to simulate pollutant transport, mixing and biochemical processes. To enable rapid prediction, a machine-learning surrogate model based on Gaussian process regression will be developed and trained
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Learning essentials Libraries and Learning Services Our people University Calendar Campus Card Enrol in courses Postgraduate students Summer school Graduation AskAuckland Student Hubs Student IT Hub Student
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This funding is available to students undertaking the following modes of study: Full-time Part-time Full-time distance learning Part-time distance learning Subject restrictions This funding is available in all
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department is available at: Department-of-computing-science Project description Our societies rely on computer systems and on software stacks. Unfortunately, software systems contain bugs and vulnerabilities
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their learning and develop reading comprehension skills? Are you eager to combine learning sciences research with classroom innovation? Then this PhD position may be of interest to you. Job description The Erasmus
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Australian Collaborative Education Network (ACEN) has officially changed its name to Work-Integrated Learning Australia LTD Please visit our new website www.wilaustralia.edu.au Home About Events
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expertise in research methodology or willingness to learn. Well-developed computer skills. Application process Expressions of interest are invited to be submitted electronically to Professor Judith Finn via
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a PhD scholarship for the academic year 2026-2027. The position would be for a ten- month duration from August 2026 to May 2027. The PhD scholarship candidates will teach one course during each
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influences that define and shape their early careers and practice, including the impact of different learning and professional development phases. Further information on the study is available at the TPJ