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. The framework will be released as open-source software, with a strong emphasis on accessibility, flexibility, scalability, and scientific rigour. Accurate modelling of the solar atmosphere is essential
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utilising CLF developed DiPOLE multi-slab amplifier technology. Architectures will need to be able to provide the required bandwidth and scalability to meet the requirements of a future laser-driven IFE power
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-class honours degree or equivalent) in materials science, manufacturing, mechanical engineering, metallurgy, physics, chemistry, or related fields. Ideal candidates will be self-driven, eager to learn CFD
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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models to enhance the detection of online narratives. The successful candidate will be appointed to a two-year fixed-term, research-intensive position supported by ASCA’s EDT program on synthetic media and
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translational research, clinical decision support, and patient-centric digital health solutions. You will work cross-functionally with data scientists, clinical researchers, software engineers, product managers
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of models in existing simulation software conducting numerical studies, also on HPC systems Further specific tasks can be tailored to the attitude and interests of the PhD students/postdocs. Requirements
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problems and associated potential technology solutions, including machine learning and artificial intelligence; (b) iterative experiments that test and deploy technology-driven solutions to optimize
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection
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the necessary software to facilitate course material, or have access to this technology. Legal authorization to work in the US Preferred Job Qualifications Five years of full-time professional experience with a