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Field
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development patterns across the entire technical stack. Lead technology evaluation, ensuring backend frameworks (such as FastAPI) and frontend integration paths are optimized for speed and reliability. Data
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 7 hours agoSupercomputing compute system design and optimization o Filesystems, software and/or hardware o Application performance and optimization o Middleware and/or software in one or more of the above areas o
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owners, and HR Business analysts on test scenario design, unit testing, system / end-to-end testing execution. Collaborate with project teams and process owners to ensure delivery of optimal solutions
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determine strategies for student engagement and academic support Works in partnership with university partners and stakeholders to determine optimal ways to promote, grow, and execute programs, with the goal
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, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be on investigating novel methods and their full-system
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well as data on radiation treatment delivery and dose. Lead the development, implementation, maintenance, and optimization of clinical and health data collection systems, including REDCap-based data collection
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; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized
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). Organic Unit: Computational Infrastructures Coordination Scholarship Theme: Research and development of methodologies for the optimization and support for the MOOC Técnico platform Duration: 6 months
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infrastructure development. The successful candidate will collaborate closely with researchers to understand scientific challenges, develop and optimize AI/ML workflows, neural networks, and deploy scalable
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to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling