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physicists develop novel models and mathematical frameworks to explore the most complex behaviours of quantum systems—driving the development of transformative technologies. At Monash, academics at the levels
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one of the following areas: Supply chain analytics and logistics optimisation, data-driven optimisation and decision analytics, simulation and modelling of complex systems, business process improvement
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model The Opportunity We’re looking for a Senior Full Stack Developer to help drive our Student Management Systems Transformation – a flagship initiative supporting the University’s strategic goals
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focused on advancing personalised and innovative approaches to addiction care. This dynamic and collaborative position works closely with a multidisciplinary team of neuroimagers, computational modellers
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model (with work from home) and flexible arrangements available Kick-start your career with Monash! The Opportunity You’ll be joining Monash at an exciting time in our history as we aspire to make leading
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crunching to make decisions automatically and to let humans make informed decisions, too. Across FIT, we have at least one dozen academics working in the greater space of "energy" (optimisation, modelling
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Gippsland classified as MM3 through to MM7 (Modified Monash Model). The MM classification of current and previous addresses can be checked by consulting the Health Workforce Locator (from the 'Classification
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would develop new computational methods for modelling Groupthink that can account for real-world complexity in agents’ behaviour, and build realistic enough models that can fit past and present empirical
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optimal individual choices. We use this framework to study: Multi-agent Systems and AI, Social Systems, and Models in Biology and Evolution. Please check our publications for more details: http
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Methods of balancing model complexity with goodness of fit include Akaike's information criterion (AIC), Schwarz's Bayesian information criterion (BIC), minimum description length (MDL) and minimum