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Field
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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Modulo Theories) solver. The work aims to demonstrate methodology through the application of the prototype to a real-world industrial system (provided by our industrial partner - Evolution Measurement
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analytical frameworks grounded in Mean Field Game (MFG) theory and Multi-Agent Reinforcement Learning (MARL), which are tailored for eCPS. These frameworks will facilitate the creation of effective control
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Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus cloud modification (CCM) could in-theory mitigate
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theory and computational methods to understand the nature of the confinement mechanism of QCD. Funding duration: 3 years Funding Comment This scholarship covers the full cost of tuition fees and an annual
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aforementioned tasks with the following actions: Develop the principles and theories for governing the scalability principles for building innovative robotics end-effectors that can access geometrically complex
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gas turbine sensor data, if available, will be utilized to validate the developed digital twin in order to estimate non-measurable health parameters of major gas path components, including compressors
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information
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delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Centre for Advanced Powertrain and Fuels (CAPF) at Brunel University