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imaging methods that are more robust and computationally efficient, while also providing a natural framework for uncertainty quantification and experimental design. A central question is whether suitable
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application. The project aims to change this by realizing pulsed DNP on a chip. What you would be doing PhD 1: • explore architectures and design the pulsed-DNP chip • oversee chip manufacturing and
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be removed once the position has been filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify
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, you will analyze resource flows, evaluate circularity scenarios, and support sustainable design and decision-making across interconnected sectors. This PhD is part of the Greenhouse in Transition
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for identifying concentration, floe size, geometry, and possibly stage of development. The plan is to build models so that radar measurements alone can be used to populate, as far as possible, the Stage
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learning paradigms. The framework will support rapid prototyping, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms
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Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons
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of wireless technology and excited to embark in the exciting new world of photonics, we invite you to apply for this PhD opportunity! Information This project aims to innovate detector design to overcome
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electric machines for future defence and aerospace propulsion systems. The research will explore innovative machine topologies and advanced multi-physics design methodologies to enable electric machines with
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of vision systems and AI techniques for perception, decision-making, and control, enabling robots to operate reliably in complex agricultural environments. The research will involve design, experimentation