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Information Technology Industry-Based Learning Placement Grant This grant is awarded to high achieving students in the Faculty of Information Technology who undertake a placement with an industry
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Testing self-driving cars is extremely difficult, as one has to account for a very large space of possible scenarios. In this project, we will explore the application of automated testing techniques
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approximation algorithms for deriving dual bound within a branch-and-bound algorithms. Other directions could use Machine Learning or new decompositions. This subject is generally quite open so it is important to
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candidate could undertake is in support of the NEED collaboration - which at the Australian end is being run out of FIT. In the NEED setting, questions of inequity in healthcare and wellness act as the
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narrative to communicate insights (instead of just plotting data). The aim for this PhD is to research, prototype and evaluate approaches to increase the explanatory effectiveness of the visualisations
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to advance social good through its research. Key to this mission is the AiLECS (Artificial Intelligence for Law Enforcement and Community Safety) research lab. The AiLECS lab is a joint initiative of
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This PhD project is funded by a DHCRC project "Actionable data for clinicians and external accreditors in support of quality care provision and continuous accreditation". The successful applicant
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of Information Technology has a mission to advance social good through its research. Key to this mission is the AiLECS (Artificial Intelligence for Law Enforcement and Community Safety) research lab. The AiLECS lab is a
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is your gateway to success. Total scholarship value Up to $6,000 Number offered Two See details Matthew J.L. Chung Kai Shing Monash International Merit Scholaship I am happy and honoured to leverage
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criteria This scholarship is awarded based on academic achievement, leadership potential and individual circumstances. You will be interviewed to assess your commitment to making a difference through