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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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to an EU-funded research project “Ensuring Secure & Safe Connected Medical Devices Design with Zero Trust Principles” (the project short name is ENTRUST). The main responsibility of the post holder will be
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We are seeking one enthusiastic and motivated individual to work within the Zero-G AstroLab, School of Engineering, on a project funded by the UK Research and Innovation (UKRI) in planetary defence
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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(InstSSC) announces an opening for a research assistant in ultrasound data transmission. This position is funded by the Defence Science and Technology Laboratory (DSTL) to analyse and design methods for high
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modelling tools, depending on your profile, to unlock – and inform the design of – disruptive solar technologies. You will be expected to undertake some project management activities, supervise multi
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that project aims and objectives are met. Working closely with the supervisory team, develop and plan research objectives. Present information on research progress and outcomes to, for example, project lead
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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organisational skills and the ability to research, problem-solve, design, and implement ideas in a fast-paced, hands-on environment. In this role, you will be required to have a practical approach, a positive