346 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at Monash University
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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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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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This scholarship opportunity is open to domestic applicants who identify as Aboriginal or Torres Strait Islander. More information about the opportunity can be found here: https
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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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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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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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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