246 postdoctoral-soil-structure-interaction-fem-dynamics Fellowship positions in Australia
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and supporting the coordination of research activities in a dynamic, high-performance environment. Knowledge of the aged care sector is desirable. Life at Flinders We're transforming and investing in
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working with Lean interactive theorem prover and automatic verification tools such as Verus and Veil to verify properties of Rust programs in a concurrent setting. The background of using ITP’s such as Lean
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
working with Lean interactive theorem prover and automatic verification tools such as Verus and Veil to verify properties of Rust programs in a concurrent setting. The background of using ITP’s such as Lean
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honours students within a dynamic and research-intensive environment. The successful candidate must hold a PhD in theoretical condensed matter physics, or a closely related field. If you have a passion for
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Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be part of transforming health with world-class research and education The Opportunity Join a dynamic team at the
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discover them The Opportunity The Emerging Technologies Research Lab at Monash University is seeking a dynamic and talented Research Fellow to join the Australian Research Council Future Fellowship project
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or borehole reflection seismic data using industry-standard software. Experience, willingness and ability to participate in field acquisition of land and downhole seismic data. Experience in or commitment
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to each Key Selection Criterion listed in the Position Description. This may be presented within the letter itself or as a clearly structured accompanying document. Responses should be concise but
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Criterion listed in the Position Description. This may be presented within the letter itself or as a clearly structured accompanying document. Responses should be concise but substantial-demonstrating how
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is