443 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Monash University in Australia
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Academic transcript Applications Close: Sunday 1 March 2026, 11:55pm AEDT Minimum entry requirements: https://www.monash.edu/admissions/entry-requirements/minimum Research webpages: https://www.monash.edu
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, Farshid, Global Temperatures and Greenhouse Gases: A Common Features Approach (September 30, 2019). Available at SSRN: https://ssrn.com/abstract=3461418 or http://dx.doi.org/10.2139/ssrn.3461418 Fitzgibbon
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Ventia Scholarship for Women in Engineering Achieving Potential Scholarship for Distinction This scholarship is to assist talented and deserving female students to access tertiary education and to
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of these crystals greatly affects the performance of the metal and hence the performance of components where metals are used - such as in aeroplanes, gas turbine engines, cars, etc. The manner in which such materials
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Women in Engineering Excellence Scholarship Sir John Monash Scholarship for Distinction Applications No application required Total scholarship value Up to $32,000 Number offered Six See details
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Engineering International High Achievers Scholarship Sir John Monash Fee Scholarship The Engineering International High Achievers Scholarship is introduced to recognise high achieving international
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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) Employment Type
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Research Fellow - CONNECT Consumer Program - Australian and New Zealand Intensive Care Research Centre (ANZIC-RC) Job No.: 687556 Location: 553 St Kilda Road, Melbourne Employment Type: Part-time
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Research Engineer - Railway Condition Monitoring Job No.: 684727 Location: Clayton campus Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $96,768 - $104,450 pa HEW
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning