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fellowship consists of the study and implementation of management and support services for the control of unmanned heterogeneous vehicles. The tasks of this fellowship correspond to: 1. Study of unmanned
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PLAN: This fellowship consists of the study and implementation of a Generic Control and Monitoring Platform for Heterogeneous Unmanned Vehicles. The tasks of this fellowship correspond to: 1. Study of
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. The insights gained from this well-controlled model will provide a foundation for understanding analogous processes in more complex human cellular systems. The research aims to establish mechanistic
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controlled through stereogenic axes formed during synthesis by asymmetric catalysis. The successful applicant will design, synthesise, and characterise these molecules, building on novel catalyst-controlled
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related field. Strong background in robotics motion planning and control and familiarity with trajectory optimization for single- and/or dual-arm cobots. Knowledge of movement primitives and multi-objective
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. The candidate will join a multi-disciplinary research team aiming at exploring innovative processes to manufacture intelligent soft magnetic robots, modelling their behaviour under an external controllable
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studies in MMV settings. • Plan and execute controlled and longitudinal field experiments, ensuring high-quality data collection. • Conduct CFD simulations to assess the performance of diverse MMV
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: Recommender system for biological control agents against plant pathogens”, “2023.14580.PEX”, ”DOI: https://doi.org/10.54499/2023.14580.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P. through
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. Applicants should also have: (a) a good command of both written and spoken English and Chinese, with fluency in Cantonese or Putonghua; and (b) good communication, interpersonal and problem-solving
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the School and Research Centres to deliver high-quality research aligned with the University’s strategic priorities. The role involves undertaking research and development in learning, control and optimisation