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packages for data processing (e.g. Bioconductor, scikit-bio, PyPI genomics packages). HPC and/or cloud computing experience (AWS, Azure, GCP) plus practical application of AI/ML or similar computational
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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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been oriented around high performance computing (HPC) but are increasingly migrating to cloud-based solutions. We are seeking a talented software engineer to bring in this transition. You'll Be Solving
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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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, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine learning/AI based tools and HPC. You will be expected to work as part
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learning/AI based tools and HPC. You will be expected to work as part of a tightly integrated team of computational biologists to produce novel algorithms and workflows to classify domain functional families
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and experience leading research are essential. Candidates must have expertise in aerospace aerodynamics, compressible flow, and engineering programming. Experience in CFD, optimisation, HPC, and
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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