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/ technical hands-on experience in building energy/power system control & optimisation. Familiarity with building energy/power system control & optimisation, building automation and control (BAC) system
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. Develop and optimize radical coupling reactions, including reaction design, selectivity, efficiency and substrate-scope evaluation. Plan protecting-group strategies and control chemoselectivity
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Supervise and mentor research associates, engineers, and PhD students working on the project Collaborate with perception, controls, systems, and hardware teams to guide integration of learned policies
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robotic technologies for understanding, enhancing, and restoring human movement. The role will focus on wearable robotics, human biomechanics, intelligent sensing and control, and assistive technologies
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: Development of novel designs and mechanisms for shape-morphing structures Development of models for sensing and control in shape-morphing systems Experimental implementation of designs Engaging in scientific
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student. Job Requirements: PhD in mathematics, applied mathematics, physics, control theory, electrical engineering, or a related field with 4 years of relevant experience. Research record in open quantum
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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development in grid-forming converters, power electronics, and advanced energy systems. The role involves the design, modelling, control, implementation, and experimental validation of grid-forming power
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equipment. Job Requirements: Education qualifications: PhD (Mechanical Engineering) or above Soft skills: Organization management and project progress control ability, channel development and industry
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expert coral and benthic community identification and contribute to data quality control. Lead manuscripts, reports, presentations and other research outputs; support junior researchers and group