348 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" "Dr" uni jobs at Monash University in Australia
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Research Training Program (RTP) Fees-Offset Research Training Program (RTP) Scholarships, funded by the Australian Government, support both domestic and international students undertaking Research
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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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Software Engineer Job No.: 691481 Location: Clayton campus Employment Type: Full-time Duration: 12 months fixed-term appointment Remuneration: $96,768 - $104,450 pa HEW Level 06 (plus 17% employer
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Program Manager - BloodCare CRE Job No.: 686995 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time (negotiable from 0.6 FTE) Duration: 12 month fixed-term appointment Remuneration
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provide multiple competitive scholarships funded by a national elite HDR training program: Data61 Next Generation Graduate (https://www.csiro.au/en/work-with-us/funding-programs/programs/next-generation
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Senior Administrative Coordinator, UCAT ANZ Program Job No.: 686950 Location: Clayton campus Employment Type: Part-time, fraction (0.4) Duration: 3-year fixed-term appointment Remuneration: Pro-rata
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information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/
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to reason with more than just and-gates, not-gates and or-gates! For example, we now have non-classical logics which capture notions such as “phi is true until psi becomes true”; “if we execute atomic program
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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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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