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engine modelling and simulation, intelligent control strategy development, and data-driven calibration, applying AI and optimisation techniques, including machine learning and metaheuristic algorithms, to
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research / technical hands-on experience in building energy/power system control & optimisation. Familiarity with building energy/power system control & optimisation, building automation and control
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optimisation. Strong analytical and programming skills are essential. Relevant experience may include tools and languages such as Python, MATLAB, R, Java, and optimisation packages or solvers such as Gurobi
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Research Associate/Fellow in Optimisation for 3D Printing (Fixed Term) Area Engineering Location Jubilee Campus Salary £32,080 to £47,389 per annum, depending on skills and experience (minimum £35608
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and languages such as Python, MATLAB, R, Java, and optimisation packages or solvers such as Gurobi, CPLEX, Pyomo or equivalent platforms. Experience with modelling or simulation environments such as
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quantum complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing
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. Experience in electromagnetic simulation tools Experience in WPT coil design, resonant inductive coupling, impedance matching, magnetic-field analysis, and efficiency optimisation. Experience with
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Fellow, you will undertake independent research across quantum complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational
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structural analysis, optimisation and design tools for high-efficiency, low-carbon composite building systems Plan and conduct experimental work, including but not limited to: i. Material and component
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, Applied Mathematics or a closely related field. A strong mathematical background (probability, linear algebra, optimisation) and proficiency in programming (preferably Python/Matlab) are essential. Prior