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arm control algorithms in both simulated and real-world environments; (d) train robotic systems in simulation environments using reinforcement learning; (e) collaborate with clinicians to ensure
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multimodal brain-computer interface”. They will be required to: (a) help build a multimodal system that integrates EEG, camera footage, and physiological signals; (b) develop and implement algorithms
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assist the project leader in the research project - “Enabling bulk data transfers for Low-Power Wide-Area Networks”. He/She will be required to: (a) develop innovative solutions to improve
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developing and validating computational models of human social behavior and intentions for real-time integration into socially assistive robots; (b) assist in general management of the project; and (c
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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- “Data-driven algorithms for multi-product inventory systems with non-stationary demand”. Qualifications Applicants should have:- (a) a doctoral degree, preferably in the area of operations management
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, attention and creativity metrics to understand the neural mechanisms behind immersive 3D content creation; (b) develop intelligent intervention strategies: • design adaptive systems, including
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multi-user welding training simulator with real-time interaction”. He/she will be required to focus on the development of a mixed reality welding simulator. Qualifications Applicants should have: (a