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dynamics in complex, large-scale project systems develop formal, computational, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject
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, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject environments investigate system-level mechanisms, including stability, path dependence, lock
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, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
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Travel Grants for researchers to build networks with well-known research teams, learn new skills and present their work, nationally or internationally. 6. One Research Translation Grant in dementia care
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machine-learning based approaches for extremely precise radial velocity studies and exoplanet spectroscopy with the NEID, HPF, and MARVEL facilities, and pursue related exoplanet and stellar science. We
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do
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. Position description: PD - Postdoctoral Research Associate (522521).pdf To learn more about this opportunity, please contact Georg Fritz at georg.fritz@uwa.edu.au How to apply Please apply online via
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years. This role will develop and apply new machine-learning based approaches for extremely precise radial velocity studies and exoplanet spectroscopy with the NEID, HPF, and MARVEL facilities, and pursue
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make our workplace open, supportive and safe for everyone. To learn more about the School of Physics, click here About you The University values courage and creativity; openness and engagement; inclusion