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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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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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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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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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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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population modelling approaches. You will collaborate with an interdisciplinary team of mRNA scientists, pharmacometricians, clinical pharmacologists, and drug developers to optimize therapeutic strategies
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optimal cognitive functioning. Half of all people living with dementia or Mild Cognitive Impairment (MCI) experience recurrent disruptions to their sleep and circadian rhythms, which increases further risk
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to contribute to novel encapsulation methods, optimize formulations, and characterize systems using advanced analytical techniques. You will collaborate with interdisciplinary teams to explore applications in
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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