13 high-performance-computing Fellowship positions at University of Birmingham in United Kingdom
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-performance computing facilities, which will ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and learning provision
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pound high-performance computing facilities, which will ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and
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in an exciting period of growth: major investment from the University will deliver a state-of-the-art research building (opening in 2023/24), and new multi-million pound high-performance computing
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develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With
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guaranteed access to the university’s high-performance supercomputer BlueBEAR. Additionally, the successful candidate will have the opportunity to supervise students, acquire teaching experience, participate
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November 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project
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of bioinformatic analysis of microbial genomics data High level analytical capability Ability to communicate complex information clearly Contribute to the planning and organising of the research programme and/or
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Specification PhD (or near to completion) in high energy particle physics Experience with operation and use of Roman pot-based near-beam spectrometers Experience with analysis of data from Roman pot-based near
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particular using diffusion tensor methods) of human participants (Fellow 1 only) Experience conducting neuroimaging analyses on high performance computers (HPC), such as BlueBEAR or similar Cooperative nature
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diffraction and computed tomography experiments, including Rietveld refinement. A track record of high-quality research outputs and a demonstrable commitment to research excellence. Experience in