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Field
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. This project will build upon our research and industrial successes, focusing on developing control solutions for automated robotic systems that can be teleoperated using intuitive human-machine interfaces
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the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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, current methods for processing seaweed carbohydrates are inefficient, relying on separate enzymatic and chemical steps that lack integration, selectivity, and process control. This project will pioneer a
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the carefully-controlled flame conditions. The specific objectives and work packages of the PhD project will therefore be as follows: Apply laser-induced fluorescence (LIF) of the hydroxyl radical for temperature
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available computational tools for automated imaging analysis of neurodevelopmental disorders. Genetic testing has transformed our understanding of neurodevelopmental epilepsy. Identification of common genetic
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manufacturing defects, such as dry spots, but also enable the development of real time control methods to adjust process parameters to maximise productivity and product quality. Working closely with
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regarded as being cyber-physical systems, as they are controlled by digital networks and depend upon software and digital communication systems. The reliance on cyber-physical components is growing as
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, the nature of the porosity and permeability which controls fluid flow within these rocks is poorly understood, limiting our ability to capitalise on their resource potential. Central to this problem is
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mediates the quality control of protein N-myristoylation. Science, 365 (6448): eaaw4912. Koren I, Timms RT et al. (2018) The Eukaryotic Proteome Is Shaped by E3 Ubiquitin Ligases Targeting C-Terminal Degrons