439 parallel-and-distributed-computing-phd positions at Monash University in Australia
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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consensus at all levels and including those with varying levels of financial literacy. Experience working with large integrated commercial finance systems and reporting software along with excellent computer
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the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Ariane Tebb, Aquatics Program Coordinator, ariane.tebb@monash.edu , +61 3
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Curriculum Services Officer Job No.: 684321 Location: Clayton campus Employment Type: Full-time Duration: 12 months fixed-term appointment to commence in December 2025 Remuneration: $83,424 – $95,825 pa HEW 05 (plus 17% employer superannuation) Amplify your impact at a world top 50...
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
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Senior Animal Technologist Job No.: 686055 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $96,768 - $104,450 pa HEW Level 06 (plus 17% employer superannuation) Contribute to the optimum welfare of laboratory animals Provide support to...
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physicist with an outstanding research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum
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for students who commenced from 2025 onwards) Number offered Unlimited See details PhD candidate, Research Assistant (Wominjeka Djeembana Lab) and proud Pitta Pitta woman. Jahkarli Romanis Having a
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
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relevant field or equivalent experience Strong administrative, numerical and computing skills Experience with systems like SAP and Callista Exceptional organisational and communication skills A proactive