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Field
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manages the CREATE ecosystem (Computational Research, Engineering, and Technology Environment), a suite of advanced services that includes High Performance Computing (HPC), Cloud platforms, and Trusted
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(e.g. Nextflow) and cloud compute environments (e.g. OCI, AWS, GCP) Familiarity with Bayesian methods, machine learning, or causal inference in the context of biological data Contributions to open-source
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criteria Hold a PhD/DPhil in a relevant discipline Strong publication record and familiarity with the existing literature and research in the field Possess sufficient specialist knowledge in the discipline
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completion of your PhD programme) in computing, telecommunications, electronic engineering, applied mathematics or a related discipline, with strong expertise in smart technologies in one of the areas
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PhD Studentship available on the RAINZ CDT programme at the University of Oxford. Project Overview Abstract: Nuclear facilities require regular inspection to monitor specific locations (for example
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performance computing environments, and the use of cloud-based platforms Expertise in the design, development, and application of Digital Twins, including data driven and hybrid modelling approaches for complex
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of knowledge, experience, skills, talent and abilities required for the role as outlined below and must satisfy all of the essential criteria: Essential A PhD or equivalent in Computer Science, Engineering or
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computing, edge computing, distributed computing or cloud computing. Experience in real‑time applications and in developing research demonstrators is essential. You will be an effective communicator, able
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charts available within the PreMO risk stratification app (a free cloud-based UKCA and CE-marked application developed by the research team at Ulster University https://myopiaonset.com) to extend its
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confidentiality. Why does this matter now? Wearable devices have made round-the-clock health data commonplace, cloud computing places vast processing power at our fingertips, and patients are demanding care