411 parallel-computing-numerical-methods-"Simons-Foundation" positions at Monash University in Australia
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods
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Minimum Message Length '', Springer (Link to the preface [and p vi , also here ]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program . Proc. 7th Australian Joint Conf
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managed by the Clinical Outcomes data Reporting and Research Program (CORRP), within the School of Public Health and Preventive Medicine (SPHPM) – Australia's largest and most respected School of Public
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submit your resume and a short statement addressing why you would make a great Lecturer/Demonstrator in our program. Recent Professional practice is required for this role. Please detail your recent
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Assistant Grants Officer (Awards) Job No.: 681290 Location: 211 Wellington Road, Mulgrave Employment Type: Part-time, fraction (0.6) Duration: Fixed-term appointment until the end of the academic year 2025 Remuneration: Pro-rata of $83,424 - $95,825 pa HEW Level 5 (plus 17% employer...
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. Methods To make this pre-trained model, the student will script a virtual mouse model 13 to traverse through common behavioural apparatuses within a realistic simulation tool called Unreal Engine 14
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-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP
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This project aims to identify novel methods for inferring where and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law
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enhancements that empower users to drive the reasoning process and strengthen trust in the system’s reasoning. The Discovery Project will apply and evaluate these methods in two areas: medical and legal