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— influencing optimal approaches, promoting recognised models, and driving continuous improvement. About you! To be successful in this role you will have; Extensive experience delivering high-quality Salesforce
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have a truck to land on. Required knowledge This project would suit a mathematics or computer science student with a background in combinatorial optimisation, operations research or mixed integer linear
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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research often overlooks the complexities of mixed-vehicle environments, and the development of optimal deployment, routing, and charging strategies. This project aims to address these gaps by optimising
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The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a path from a start to a goal location without colliding with each other. The optimisation group at Monash is
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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
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to new logics. [1] Rajeev Gore: Tableaux Methods for Modal and Temporal Logics. Handbook of Tableau Methods, Kluwer, 1999. [2] Rajeev Gore, Florian Widmann: Optimal and Cut-Free Tableaux for Propositional
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my secondary schooling to assist in income, my study was abrupt and I felt like I could not achieve my optimal potential. The receipt of this scholarship has majorly benefited me in allowing and
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determining the appropriate design pattern for a specific scenario, identifying relevant quality attributes for a particular design choice, and recognizing the optimal timing for implementing a refactoring
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at primary care and offer optimal use of scarce health system resources. The model will be trained using skin images (clinical and/or dermoscopic) to identify disease relevant features and accurately diagnosis