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environments and industry engagement. Experience in control theory, or optimisation and a strong interest in power systems About Monash University At Monash , work feels different. There’s a sense of belonging
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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised
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questions about your research, your methods, your motivation and the potential impact of your research. See the selection criteria below and please read these thoroughly, bearing them in mind when answering
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-atomic potentials using a combination of classical and machine-learning (ML) approaches (and a new hybrid method recently developed in our group). Some of the types of simulations that will be performed
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deep learning, transformer networks, and implicit neural functions. Strong math skills in matrix calculus, and the foundational aspects of modern deep learning. An outstanding publication record in top
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networks, and implicit neural functions. Strong math skills in matrix calculus, and the foundational aspects of modern deep learning. A strong work ethic, and the ability to work well independently, and as a
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encouraged. About the Role Reporting to the Bradley Distinguished Professor, you will be responsible for undertaking high-quality research projects deploying de-colonising theory and practice, to build and
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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industry, policy, and public sectors Review relevant literature and engage with sociological theory to understand the role of “cute” home helper robots in Australian households Undertake design and digital
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Leadership Foundation, the Lab brings together experts from diverse disciplinary backgrounds and practice fields, to innovate new approaches and advance the theory, measurement, research, education, and