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Status: Open Applications open: 8/11/2023 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Three PhD positions are immediately
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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the observed pattern of fundamental particles and forces emerged, using information carried by gravitational waves originating from the earliest times. To this end, with members of the Global And Modular BSM
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and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain. At UQ
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview A Circular Economy
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 1 month ago
seek a career where you can excel and contribute meaningfully, you've found the right place. At UNSW, we pride ourselves on being a workplace where the best people come to do their best work. Why Your
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, spectroscopy, astrometry) using massive optical telescopes on Earth and in space (e.g., Hubble, Gaia, JWST, Kepler, TESS). My group develops cutting-edge models to extract the most from noisy data and to better
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as “range anxiety” are amongst the top barriers to the wide adoption of EVs. This project aims to develop a paradigm for data-driven modelling of EV behavours, optimisation for EV charging station
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More Time with that Team”: Making Spatial Pedagogy Visible Using Positioning Sensors. LAK 2019 [PDF ] Teamwork analytics. This would involve collecting multimodal data from collocated teamwork settings