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computing facilities and membership in the multidisciplinary Control & Power Group, which spans control engineering, energy systems and sustainability. Sector-leading salary and remuneration package
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aims to develop a novel theoretical framework for nonlinear and robust control of dynamical systems from a phase perspective. You will have the opportunity to freely explore multiple research directions
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October 25 start date The overarching aim of the project is to investigate the oxytocin system in patients with rare hypothalamic disorders (craniopharyngioma, septo-optic dysplasia), who often
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to develop novel, bio-inspired neural networks that flexibly and robustly control locomotion in multi-limbed robots. "Self-organised clocks for reliable spiking computation" (Supervisor: Prof Timothy O'Leary
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vulnerable parts of the system for attacks, model faults and attack risks, and develop new control architectures that mitigates them towards achieving operational resilience throughout their life. Your PhD
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complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension
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preventing infectious diseases in humans and animals, as well as supporting global detection and control with a special emphasis on antimicrobial resistance. The primary task is to conduct targeted research
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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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The Faculty of Engineering, Research Group FLOW, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a doctorate, contains: Research: The