379 engineering-computation-"https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Monash University
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Engineering Indigenous Excellence Scholarship Achieving Potential Scholarship for Excellence The Engineering Indigenous Excellence Scholarship has been introduced to support Indigenous students
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MMG Women in Engineering Scholarship Achieving Potential Scholarship for Excellence MMG wish to actively promote female participation in Engineering by providing philanthropic support to encourage
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Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering Job No.: 688022 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $114,951
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Orica Engineering Scholarship Achieving Potential Scholarship for Distinction Orica Engineering Scholarship as supported by Orica by established to support equity scholarship to benefit students in
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development — core technologies for the next decade of AI-powered engineering. This is a collaborative research project with Atlassian. Check out some recent work: - https://www.atlassian.com/software/rovo-dev
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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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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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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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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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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