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and food chains. These methods implement evolutionary processes in virtual populations of software agents and explore the evolution of their behaviour in diverse environments. Many behaviours
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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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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
. In this project, you will use whole cell mathematical models (WCMs) to generate predictions about evolutionary outcomes under defined conditions, then design and run bacterial evolution experiments
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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention. Despite many studies introducing various APR techniques, much remains to be learned, however, about...
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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guarantees of FL. In this project, we aim at an ambitious goal - designing secure and privacy-enhancing algorithms and framework for FL and applying our designs into real-world applications. To achieve
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and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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subdiscipline of Ecology, including but not limited to: Climate change biology Conservation ecology Behavioural ecology Community ecology Ecological genomics Ecosystem ecology Eco-physiology Evolutionary ecology
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applications from any area of genomics, including but not limited to: Applied genomics Comparative genomics Computational genomics Ecological genomics Evolutionary genomics Functional genomics Metagenomics