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: (Please review the Position Description for a full list of Skills and Experience) A PhD in Electrical/Mechatronic/Mechanical Engineering (machines & drives focus). Strong background in electrical machine
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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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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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Australian Prostate Cancer Foundation (ACRF) Single Cell Proteomic Laboratory. The successful candidate should have a PhD in bioinformatics, computational biology, cancer genomics or a related field with
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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
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of Post-Doctoral Fellow will report to Associate Professor Anthony Newall and has no direct reports. Some key skills required: A PhD (or equivalent experience) in a quantitative discipline, featuring
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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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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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an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or
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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