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of the Saez Rodriguez group is to acquire a functional understanding of the deregulation of signalling networks in disease and to apply this knowledge to develop novel therapeutics. We focus on cancer, auto
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the UKRI Future Leaders Fellowship “AI-Driven Inference for Gravitational Waves: Accelerating Discoveries in Fundamental Physics” (PI: S Green). We believe that talented and inclusive teams deliver
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the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal runaway in the battery room and beyond, considering the various common battery chemistries in
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technologies and make a key contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research
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Health. This role offers the opportunity to build on our extensive track record and ongoing work in developing AI solutions for healthcare, while contributing to the next generation of predictive tools
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and deliver individual and collaborative research in the area of integrated electric motor drive technologies and make a key contribution to the direction of research programmes in the Power Electronics
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing
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of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing on gene regulation and the engineering of microbial and human cells. You
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a unique opportunity to develop their professional skills and build strong collaborations within the industry and academia. QUB also hosts some of the most advanced AI computing and Autonomous Vehicle
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photochemistry, electrochemistry, and thermal chemistry to transform how fine chemicals and medicines are manufactured. [see for example APPLIED SPECTROSCOPY (2022) 76, 38-50; ORGANIC PROCESS RESEARCH