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of the following areas: - Quantum computing-specific: o Error-correcting codes o Lattice surgery o Surface codes o Resource estimation o Homology o Circuit design/algorithms - Mentorship - Open-source software
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discoveries in quantum structures, quantum materials, quantum computing algorithms, and applications towards quantum devices. A $200+ million investment including $66.5-million funding from the Canada First
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properly, data needs to be centralized, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due
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technology and critical data studies, who will be able to bring a justice-centered lens to the study of developing AI-focused technologies, algorithmic justice, data analytics, and ethical and decolonial
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on designing novel ultrasound data acquisition and processing algorithms with both the standard Clarius ultrasound system and the more advanced Sonus Microsystems research ultrasound system. This includes
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with quantum gates, algorithms, and measurement-based photonic quantum computing. • Familiarity with quantum optics simulation frameworks (QuTiP, Strawberry Fields, etc.). • Track record of mentoring
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
medicine and AI-driven personalized treatment planning Human-AI collaboration in surgical safety and perioperative care AI for health equity — reducing algorithmic bias and expanding access to care
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of data structures and algorithms such as Arrays, Linked Lists, Stacks, Queues, Searching, and Sorting algorithms. • Demonstrated knowledge and experience working with ServiceNow and Atlassian APIs
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with cancer. Proven ability to develop novel computational methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data integration. Demonstrated
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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms