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in Australia. Are an Indigenous Australian. Current students must achieve a 70+ WAM Demonstrated leadership potential and commitment to give back to the community via any Monash leadership programs
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Advanced strongly typed languages like Haskell and emerging type systems like refinement types (as implemented in Liquid Haskell) offer strong guarantees about the correctness of programs. However
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The multi-agent path finding problem (MAPF) asks us to find a collision-free plan for a team of moving agents. Such problems appear in many application settings (including robotics, logistics
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wouldn't be possible. Am I eligible? You must be one of the following: An Australian citizen You must meet the following criteria: Commencing full-time studies in a Monash Enabling program/Monash Transition
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enrolled in the Bachelor of Biomedical Science (Scholar Program) Course. Applications No application required Total scholarship value Up to $9,000 Number offered Variable See details Bachelor of Biomedical
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The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/
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desired. Preference will be given to candidates who have strong written and oral communication skills, as well as strong programming skills. It is desirable that the candidates already have research
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fundamental research questions that are in the core of overcoming the optimiser’s curse will be studied. Namely: 1. How can we robustly plan with respect to the predictions errors (i.e., interpolation and