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will research novel methods for effectively working with geometry models of large and complex assemblies in HPC environments to support high-fidelity engineering simulations (e.g. FEA and CFD). This post
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the computational models using benchmarks and experimental results while assessing and improving the performance of algorithms on high-performance computing (HPC) clusters. This is a fantastic opportunity for you to
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data Ability to mentor and develop bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and
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strategic partnerships Access to high-performance computing facilities including Baskerville HPC Opportunities to shape emerging research themes and networks Support for developing independent research
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bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and web technologies Experience in teaching
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professional service teams You'll benefit from: Direct engagement with IDAI's strategic partnerships Access to high-performance computing facilities including Baskerville HPC Opportunities to shape emerging
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-Guided Machine Learning. Essential Interview / Application / Test Strong software development skills (for example, in Python, MATLAB, C++, usage of HPC facilities) Essential Interview / Application / Test