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financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
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, digitization, automation, and analytics requests. Supporting projects like system testing and development to ensure compliance and optimal performance. This role requires excellent judgment and process
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performance optimization. Superior communication skills to liaise with business and technical stakeholders Strong numeracy, analytical, and problem-solving abilities with the capability to identify challenges
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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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Transformation Training Centre for Optimal Ageing and Monash University The Monash School of Psychological Sciences is ranked among the best in the world. Our School’s mission is to develop students and research
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that is a result of optimal planning with respect to an incorrectly learned neuro-symbolic (neural network) model. In this project, the following two fundamental research questions that are in the core
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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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) in the context of neural-symbolic systems Discrete optimization and/or Boolean satisfiability Exact and approximate model counting About Monash University At Monash , work feels different. There’s a