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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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, PhD students, clinicians and computer scientists who will all support the studentship. The successful student will be further supported by members of the wider 4th floor research groups and existing
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about computer data analysis and willing to learn. Laboratory training will be provided but a steady hand is needed for accurate small volume pipetting. You will be working in a team and expected to
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/ physics/ meteorology/ engineering/ biology. Experience in a computer programming language (e.g. Fortran, Python). A general understanding of the importance of the scientific method is essential. A previous
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interested in PQC, FPGA/processor design, and aerospace cybersecurity. The candidate will join vibrant doctoral community, benefiting from world-class research facilities in the modern Dalton Building. Project
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location-specific commodities (coral, honey, citrus and cheese) whose trade in the Middle Ages drew together networks of producers, merchants, processors and consumers from different places, polities and
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emissions, and enhance occupant health and wellbeing. As a Research Assistant, you will work closely with UK- and Egypt-based teams to analyse collected data, develop and test computer-based retrofit models
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programming and/or CFD are desirable but not essential. The student is expected to present their research outcomes to the project team/sponsors on a regular basis in both written and oral formats. How to apply