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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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, 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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, flexible working arrangements may be negotiated. As the successful candidate you will play a pivotal role in designing and optimizing novel small molecules and drug candidates for a GPCR drug discovery
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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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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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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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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