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of the leading Engineering Schools in the UK. We are a world-class research-intensive university, delivering high-quality teaching and playing a key role in the economic, social, and cultural development
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programme of collaborative projects that focus on a specific business challenge or opportunity and transfers practical data skills into the workforce. Using these new skills, organisations can make better
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low-coverage whole genome data Experience performing species delimitation models and understanding multi-species hybridization Proven ability to work with large datasets Experience working on a high
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, symposia, or meetings, commensurate with career stage Desirable Advanced programming skills in Fortran and Python and experience with High Performance Computing Demonstrable experience in image data analysis
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information science and technology, and an interest in quantum foundations more specifically, to work with Dr Jonte R Hance within the Advanced Model-Based Engineering and Reasoning (AMBER) Research Group in the School
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. Key Accountabilities • Design and develop embedded AI algorithms for appliance profiling using smart meter data • Benchmark performance against state-of-the-art NILM approaches using datasets like
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analysing novel in vivo and in vitro models of intestinal cancer using a range of techniques (mtDNA editing, in vivo imaging, histology/immunofluorescence, spatial profiling, computational modelling), You
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or surface plasmon resonance), mass spectrometry, analysis of protein structures or enzymology • Be able to demonstrate a high level of expertise and success in the previous research areas, e.g. by
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directly related to the research projects • High level of analytical and problem-solving capability • Ability to communicate complex information with clarity and to encourage the commitment of others
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high level of industrial engagement and our state-of-the-art laboratories. This position is available from 1 April 2025, is full time (37 hours per week) on a fixed term basis until the end of June 2026