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Field
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nonlinear control and optimisation to develop novel, bio-inspired neural networks that flexibly and robustly control locomotion in multi-limbed robots. "Self-organised clocks for reliable spiking computation
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, intermittent behaviour of renewable generation but also social aspects and market structures related to how we use electricity, increase uncertainty. Power systems are inherently nonlinear dynamical systems
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methods to improve systems, and ML research develops such methods. Major gains are made when the development of ML and systems are symbiotic and co-optimized. This is relevant across a broad spectrum of
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. Lowering fertilizer input and breeding crops with better nitrogen use efficiency is one of the main goals of plant nutrition research. Soil microbes such as endosymbionts provide an important source
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, there is a critical need to develop and implement life cycle carbon accounting tools and optimization techniques tailored to the specific operations and materials used in the pipe industry. This PhD is co
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Primary supervisor - Dr Neil Hall The rhizosphere – the region of soil and associated microbes directly interacting with plant roots - is an area that is increasingly recognised for its role in
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Manufacturing and Process Optimization. Space and Harsh-Environment Materials Multifunctional and Bioinspired Systems. Requirements: Minimum: Ph.D. in Mechanical Engineering, Materials Science, Computer
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density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing , Holographic
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chemistry of polyol binders (HTPB) and isocyanates for optimization of formulation (pot life) and product mechanical properties for application in solid rocket propellants. Due to the confidential and
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. The project will be jointly supervised by Dr Susanne Bornelöv (Biochemistry; https://www.sblab.uk ) and Dr Lukas Westlake (AstraZeneca), and the successful applicant will have the opportunity to work across