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Develop a coherent research program and an emerging research profile in mathematical ecology or mathematical epidemiology. Participate in applications for competitive research funding to support projects
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candidates with a background in: Mathematical optimisation Quantum information theory Computational mathematics or related fields About Monash University At Monash , work feels different. There’s a sense of
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such as quasi-normal modes. You will lead the development of modelling codes and have primary responsibility for at least one project within the broader research program. Additionally you will contribute
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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Australian National University | Canberra, Australian Capital Territory | Australia | about 20 hours ago
platform with global ambitions. The Position Funded through the Medical Research Future Fund (MRFF), this position will play a central role in developing computational tools and AI-based approaches
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, mathematical psychology (computational modelling) and/or human factors methods and related statistical techniques (including Bayesian hierarchical methods) Experience with the development and application
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School of Mathematics and Physics Full-time, fixed-term position for up to 2 years Base salary will be in the range of $114,824.05 - $136,048.72 + 17% Superannuation (Academic Level B) Based at our
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of Computing, Engineering and Mathematical Sciences), reporting to Dr Rebecca Chisholm. They will work closely with other project investigators based at La Trobe (A/Prof Joel Miller and A/Prof Hien Nguyen), The
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, mathematical psychology (computational modelling) and/or human factors methods and related statistical techniques (including Bayesian hierarchical methods) Experience with the development and application
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Job no:520808 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences Support AusSRC and SRCNet by linking scientists with systems and conducting research using SKA