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that candidates possess expertise in some (but not all, or even most) of the following areas: Applied mathematics, control engineering, and numerical optimisation Machine learning and/or data science Computer
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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Description of the offer : PhD position in the Physics and Engineering of Nanodevices (PEN) Group at the Institut Català de Nanociència i Nanotecnologia (ICN2), Barcelona, Spain. Project Topic
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications
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us to investigate and control microbial interactions across physically separated yet metabolically connected communities. PhD position 2:Teach anaerobes to survive a breath of air. You will push
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expecting to have, a PhD in control systems engineering or a closely related field, ideally in adaptive control, robust control or similar; or equivalent industrial experience. Since the work is concentrated
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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The Faculty of Engineering, Department Electronics and Informatics, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student with a doctoral grant
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Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Will Jacobs, Dr Andy Mills
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD