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electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks and/or variable
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: Propulsion Aerodynamics Aerospace materials and structures Avionics Digital engineering for aerospace systems Space vehicles and systems Crewed and uncrewed aircraft operations Air-traffic control and
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Digital engineering for aerospace systems Space vehicles and systems Crewed and uncrewed aircraft operations Air-traffic management and control (crewed and uncrewed systems) The successful candidate will be
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Engineering Teach robotics, automation, and control Research robotics and intelligent systems Engage manufacturing and automation sectors Strengthen lab-based and design teaching To be successful
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developing the next generation of smart wind turbine blades. You will play a key role and have skillset in one or more areas of electrical engineering, including power electronics, inverter control, rotating
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will play a key role in shaping the next generation of technology professionals. You will deliver engaging, industry-aligned training and assess competency-based learning in line with national training
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, electrical systems, or intelligent control systems. You will work collaboratively with a multidisciplinary team to advance renewable energy technology through cutting-edge simulation, experimental validation
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control systems. You will work collaboratively with a multidisciplinary team to advance renewable energy technology through cutting-edge simulation, experimental validation, and system integration. We
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in quantum control and quantum optics, including the ability to model and analyse light-matter interactions, dynamical evolution. Theoretical background in quantum channel discrimination and quantum
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of research output including publications, conference contributions and/or technical reports in the field. Theoretical background in quantum control and quantum optics, including the ability to model