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classification, web scraping, environmental DNA, satellite imagery) and agent-based models and ecological simulations. Our recent work, funded by the Monash Data Futures Institute, has piloted the development
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develop individual-based models (also called agent-based models) to simulate insect-plant interactions. These are computer simulations where each individual animal is simulated in detail within a virtual
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, infer arbitrarily closely to any model underlying data. We endeavour to do the following: Apply MML to test datasets (degenerate motifs of 6-12 base pairs and with 1 to 2 variable nucleotides) Apply MML
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The brain is a complex machine and brain function remains yet to be fully understood. This project works at the intersection of dynamical modelling, statistical signal processing, statistical
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molecular and cell biology, or substantial relevant skills and work experience. The role requires a doctoral qualification or equivalent research and teaching experience. About Monash University At Monash
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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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". A number of emerging approaches, such as zero resource and unsupervised NMT, have investigated alternative methods in developing NMT models where sufficient parallel corpora are not available (eg [1,2
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of statistical signal processing, inference, machine learning and dynamical systems theory to develop new semi-analtyical filtering approaches for state and parameter estimation to infer neurophysiological
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Molecular Medicine Total scholarship value Up to $15,000 Number offered Up to five See details Mubina Yaqubi Chris Wardlaw PSM OLY Leaders Scholarship Receiving this scholarship has profoundly improved my
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Markov Decision Processes (MDPs) are frameworks used to model decision-making in situations where outcomes are partly random and partly under the control of a decision maker. While small MDPs