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Advances in manufacturing science have resulted in unprecedented research and development in the design of ‘micro-swimmers’: microscopic entities that navigate fluid environments by converting some
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will design and validate a cost-effective, synchronised multi-node sensing system for simultaneous time-domain measurements of voltages, currents, electric fields and magnetic fields, supported by
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Priority will be given to the following designated employment equity groups: Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*. * The Employment
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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candidate for a full-time (100%) PhD position for 3 years. You will join the research group Power Electronics and Electrical Machines (PEM) at IEL, where we foster an open, inclusive, and collaborative
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layer and its techniques – the candidate will design, implement and evaluate an AI-driven MAC-control framework that self‑heals in integrated terrestrial-NTN (LEO, HAPS, UAV) 6G networks. The work will be
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Auditory SCEnes in Humans and Machines), an ERC Synergy project conducted in collaboration with Dr. Bruno Giordano (CNRS, Marseille). NASCE brings together cognitive neuroscience, advanced neuroimaging
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outside academia. The Software Engineering group conducts research in a wide range of topics related to design, development, verification, and operation of complex software systems, including emerging
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Carry out research of excellent quality, contributing to the research project outlined above design of studies data collection (fMRI and behavioral testing) data analyses Complete the doctoral education
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: Design, implement and characterize innovative sensing systems based on different sensing principles such as ultrasonic, optical and chemical sensors. Investigate sensor behavior under varying environmental