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motivated researchers to join the research team working on the Horizon Europe project involving both innovative decarbonisation technologies for the maritime sector and AI-based decision-making tools
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developing and implementing very large deep learning models. Familiarity with high performance computing environments (e.g., HPC clusters, GPUs, Cloud resources) and managing Linux based hardware systems
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investigate the “Solar wind outflow and open flux”. Candidates with a strong track record in solar magnetic field modelling, and/or familiarity with solar observational data, are particularly encouraged
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• Experience with super conducting microwave circuit design of fabrication • Experience of materials and/or device modelling software • Knowledge of Labview and/or Python software. How
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University Department of Engineering, who is the overall project’s principal investigator and will be modelling and testing materials we produce. The successful applicant will be expected to lead the wet
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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information to specialists and within the wider academic community. Experience in designing and operating combustion test rigs; developing analytical engineering models using CONVERGE or other CFD tools; and
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental
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worldwide based on its most recent survey in 2023. In January 2024, in recognition of its commitment to equality, diversity and inclusion the department was awarded the Athena Swan Silver Award by Advance HE
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University Guide 2024, and ranked 4th for impact in REF 2021. Due to the reach and scope of the Contextual Safeguarding programme most team members work to a hybrid working model, with research underway in