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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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, applied mathematics, statistics, computer science, strong gravity, condensed matter theory, particle physics, quantum fields & strings, quantum gravity, quantum foundations, quantum Appl Deadline: 2026/01
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Laboratory’s mission needs. Areas of special focus include: biological science; computing, information science, and mathematics; earth, energy, and environmental science; engineering science; materials and
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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Job no:521127 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences Great opportunity for an early career researcher to work at UWA under the Brian Dunlop Research
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. Citizen Only Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (27 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 30 days ago
5 Sep 2025 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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machine learning conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with strong initiatives Good
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The Mechanical and Aerospace Systems Research Group (MAS) requires an Experimental Research Fellow who is experienced in the field of multiphase computational fluid mechanics and aero-engine oil
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Location: Jubilee Campus The Mechanical and Aerospace Systems Research Group (MAS) requires an Experimental Research Fellow who is experienced in the field of multiphase computational fluid