25 parallel-computing-numerical-methods research jobs at University of Adelaide in Australia
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media; the development and application of numerical methods of image and signal analysis The ability to work well with people both in academia and Industry The ability to plan and manage own research
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applications in other multidisciplinary fields. The successful applicant will be required to undertake both experimental work and numerical studies. They will be expected to liaise with key institutes such as
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demonstrated proficiency in qualitative and/or multivariate quantitative research methods and analysis, have experience in supporting the management of a large research program, and have demonstrated an ability
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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responders and operational risk assessment regarding skin decontamination and will build on a program of work focused on dermal exposure to chemicals. To be successful you will need: Completion of a PhD in
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experiments and take an active role in advancing the statistical methods employed at the Plant Accelerator® . The appointed individual will support plant scientists using our services to address a diverse range
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reduction reaction, N2 reduction reaction, and C-N coupling. Experience in applying machine learning methods to support materials computations. Demonstrated ability to collaborate effectively with researchers
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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knowledge sharing. Research Support: Assist with ethics applications, data collection and analysis, and contribute to mixed-methods research outputs such as surveys, reports, and policy briefs. Knowledge
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collaboratively with researchers from other organisations, farming systems groups or with farmers Demonstrated ability to publish research in peer-reviewed journals Ability to use statistical methods to analyse