415 assistant-professor-computer "https:" "https:" "https:" uni jobs at Monash University
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Senior Program Coordinator Job No.: 692290 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $106,789 - $117,128 pa HEW Level 07 (plus 17% employer
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find some of our publications here: https://i.giwebb.com/research/computational-biology/ Required knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum
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, software, human-computer interaction, ...). We also work very much interdisciplinarily with colleagues from other faculties, e.g. on bio-diversity matters, on physical aspects, on modelling aspects, and on
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Program Coordinator Job No.: 690992 Location: Caulfield campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $83,424 - $95,825 pa HEW 5 plus 17% employer
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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problem-solving capability High computer literacy, including proficiency with Microsoft Office Substantial relevant skills and experience An understanding of the University environment and its dynamic
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Group Executive Assistant Job No.: 692271 Location: Clayton campus Employment Type: Part-time, fraction (0.8) Duration: Continuing appointment Remuneration: $96,768 - $104,450 pa HEW Level 06 (plus
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Emeritus Professor Codner Scholarship Achieving Potential Support Scholarship The Emeritus Professor Codner Scholarship has been established to provide support for commencing Faculty of Engineering
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Senior Change Program Lead, Marketing Job No.: 686646 Location: Mulgrave Employment Type: Full-time Duration: 12 months fixed term Remuneration: $140,157 - $148,769 pa HEW Level 09 (plus 17
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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