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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. The PhD candidate will investigate how AI and above all Generative AI (GenAI) can be leveraged
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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vast scope and opportunity for a long, fulfilling career. It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many
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insulators and Weyl semimetals. The former favours quantum states of matter (e.g. excitonic superfluidity, quantum magnetism, superconductivity), while the latter makes their optical and transport properties
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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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directions will be pursued to enhance column generation using machine learning. The first line of research focuses on improving scalability by using Graph Neural Networks to identify and eliminate non
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duration: Flexible, likely start February 2026, for 42 months. Candidates must possess or expect to obtain, a 2:1 or first-class degree in Engineering, Chemistry, or related physical sciences related
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: Flexible, likely start February 2026, for 42 months. Candidates must possess or expect to obtain, a 2:1 or first-class degree in Engineering, Chemistry, or related physical sciences related discipline. To
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current academic plan outlines each as core values and we work to embed them in all that we do. Toronto Metropolitan University welcomes those who have demonstrated a commitment to upholding the values
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legacies, and potential restitution, issues that have yet to be systematically addressed within the institute. The successful candidate will critically analyze the historical and contemporary dimensions