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university. Research at Melbourne International students Find support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we help? Find
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science, using Jax, PyTorch, and/or
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the following key skills, qualifications and attributes: About you holds (or soon to be conferred) a PhD in psychology, public health, behavioural or social sciences, or related field; proven experience
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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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of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate who has: a PhD in mathematics, applied mathematics, computational mathematics or a closely related discipline a
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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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industrial biotechnology laboratory, preferably in the context of microbial bioproduction or metabolic engineering projects. Advanced technical capabilities in design–build–test–learn (DBTL) experimental
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seeking applicants with experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science
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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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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