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Field
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to PhD level in an area related to Computer Science, the applicant will be proficient in software development, systems administration, networking and cloud. This is an invaluable opportunity to develop
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), frameworks, platforms and tools, high performance computing and cloud platforms to realise collaborators' data science and AI research at scale. A4. Knowledge of software development practices for research and
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system designed to enhance diagnostics, provide early epidemic warnings, and guide treatment through antimicrobial resistance profiling. Enabled by Oracle Inc.’s cloud-computing scale and security
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further secured by Quantum Encryption techniques. On the other hand, optical links are affected by clouds (overcome by making various sites on the ground available) and turbulence in the atmosphere
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond
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learning frameworks such as PyTorch, JAX or TensorFlow, alongside experience with large-scale model training, GPU/HPC/cloud computing environments, Linux, version control and reproducible research workflows
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. Your Role: We are seeking a highly motivated Bioinformatics Engineer to join the Bioinformatics platform team, which builds computational tools for plant biology in close collaboration with
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version control, testing, documentation, containers, APIs, databases, workflow tools and CI/CD, with deployment experience on HPC, GPU, cloud or distributed-computing environments. Candidates should provide
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sharing and integration of systems. This role focuses on innovative solutions leveraging cloud and edge technologies, enhancing data connectors, and pushing the boundaries of data integration. You will play
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of developing, maintaining, supporting and modernising complex business-critical applications, or equivalent professional training and experience in a computing or IT-related discipline. Deep hands-on development