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, electronic health records, or other large-scale biomedical datasets. Experience with modern AI frameworks (e.g. PyTorch, JAX) and large-scale computing environments. Familiarity with human genetics is
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health data to supporting the training and evaluation of large foundation models and deploying research software across high-performance computing and cloud environments. The scale and complexity of these
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leading collaborative software projects and contributing to open-source scientific software or models. Experience with workflow management, containerisation, and scalable GPU/HPC computing. Familiarity
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? required Applied Science Biomedicine Chemistry Clinical Computing Earth Science Engineering Environmental Science Health Science Life Science Mathematics Physics What is your current annual salary? What
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computing environments. Familiarity with Kubernetes or production deployment environments. Experience contributing to open-source scientific software or collaborative research software projects