48 computational-physics-simulation-"Prof" Fellowship positions at University of Birmingham
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
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Waite (Aston University) and Dr Jo Moss (University of Surrey). The successful applicant will join Prof Richards’ team: https://www.richardslab.org/ and the cross-institute Cerebra Network: https
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July 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. Role
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dedicated to open, inclusive and inspiring research spaces for academics and their collaborators. In addition, the University of Birmingham offers exceptional High Performance Computing facilities, including
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the topical area of Quantum-enabled radar at UoB through contributions to securing research inputs and outputs Contribute to the management and delivery of the programme Lead efforts on the further development
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in at any time. 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
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. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof. T. Carlomagno) Contribute to writing bids for research funding Acquire, analyse
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project will focus on scaling-up the technology and transferring existing knowledge of this process from the University of Birmingham to Salinity Solutions, where it can be commercialised and accelerate
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. This will include the planning of model developments, carrying out model developments, preparing and analysing observational datasets, designing experimental protocols, carrying out the related simulations
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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible