55 electric-machine-"https:" "https:" "https:" "https:" "https:" Fellowship positions in Australia
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 4 hours ago
Research Fellow (Machine Learning LEO Satellite Communications) Employer MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA Location North Ryde, Australia Salary $112,550 - $120,621 (Level A6-A8) per annum
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. The position contributes to “Brain-in-Space: A Machine Learning Framework for Self-Organizing Low-Earth Orbit Satellite Networks”, funded by the Global Science and Technology Diplomacy Fund. You will
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the State or enrolled at one of their universities. For information consult the following: https://www.gwnsw.org.au http://www.afuwsa-trust.com.au/postgraduate-scholarships/ http://gwq.org.au/awards
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two Magma Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (https://magma.maths.usyd.edu.au/magma/). These positions are based at the University of
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create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT
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AEST Outcomes announced: Early 2027 Funding commences: March 2027 or by arrangement Information for applicants Your guide to applying for Dementia Australia Research Foundation grants. https
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experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make
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student, researcher, tutor, research assistant or affiliate or have held such a position within the last ten years. Application Information Further information can be found on https://neaf.sydney.edu.au
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Australian National University | Canberra, Australian Capital Territory | Australia | about 12 hours ago
undergraduate or postgraduate studies at an institute which has an articulation agreement with the College. List of the College's articulation partners can be found here: https://science.anu.edu.au
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effectively within a multidisciplinary research environment. Experience with quantitative genetics, Bayesian methods, machine learning, large-scale genomic datasets, single-cell omics or integrative