371 parallel-computing-numerical-methods-"Simons-Foundation" research jobs in Australia
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family Career development opportunities –access to exclusive internal-only vacancies and our
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imposed timelines/milestones. PhD (or near completion) in Engineering or Applied Science with strong expertise in CFD. Proficiency with open-source engineering software and numerical methods such as FEM
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Australia Application Deadline 14 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
14 Oct 2025 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Australia Application
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to packages in the area of geospatial data science. Evidence of innovation in research with high-level skills in numerical data analysis and presentation of data. A track record of publishing in reputable, peer
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their best work. The School of Physics is one of the leading Physics schools in Australia. It offers a world class undergraduate physics degree, as well as a postgraduate PhD research program for over 50
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. Experience in one of more of: advanced optical imaging; classical imaging; multiphoton imaging; the development and application of numerical methods of deep learning or multivariate analysis. Interdisciplinary