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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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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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. To learn more about the School of Physics, click here About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the
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collection and management for research, as well as basic knowledge of both quantitative and qualitative data analysis principles. Demonstrate high levels of computer literacy, including proficiency in learning
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you and your family discounted access to hundreds of gyms, pools and fitness facilities. Career development opportunities, including access to leadership and professional learning programs. Discounts
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the ability to build professional relationships with collaborators, students, and technical staff. Strong analytical and problem-solving abilities, and capacity to learn new techniques. High levels of emotional