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skills and experience to work under the supervision of Dr Edmond Nurellari, Associate Professor/ Programme Leader in Electronic Engineering. You will primarily work on the design and development of a low
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and reliability, with sub-micron spatial resolution, in the context of studying and designing new material and device structures. Prior expertise in optical laser-based systems is therefore of benefit
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for Embedded Machine Learning Applications," funded by the NorthEast Launchpad Competition. We are seeking a candidate with a strong background in hardware design and the implementation of machine learning
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Inspiring Futures for Zero Carbon Mobility – Postdoctoral Design Researcher Would you like to be part of a major collaborative research initiative to help tackle transport’s contribution
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substantial body of work already performed by this team, but the main objective is to enable these calculations to find use in the early hit-to-lead stages of drug-design. This is a full-time fixed-term post up
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, as well as in designing coordination strategies. Our recent work on ML-based co-optimization demonstrates some of our key research directions relevant for this position. The role holder will work
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body of work already performed by this team, but the main objective is to enable these calculations to find use in the early hit-to-lead stages of drug-design. This is a full-time fixed-term post up
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the ability to independently plan and manage research projects as well as the ability to manage and ensure quality assurance of clinical trial data and human research samples. Experience of isolation
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the processing that is conducted on the chip. This requires an efficient and bespoke processor design that maximises the processing speed on the chip for the algorithms that are required for facial expression
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Project Overview This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP). This collaboration with the Met Office integrates advanced mathematical models with state-of-the-art machine learning techniques to develop forecasting models...