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BTH's largest department, with just over 70 employees. The department conducts research in computer science, covering the subfields of big data and AI, parallel computer systems, visual and interactive
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Computer Science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C
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is BTH's largest department, with just over 70 employees. The department conducts research in computer science, covering the subfields of big data and AI, parallel computer systems, visual and
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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ticketing system, the candidate is expected to provide advanced support in computational science and engineering, big data analysis, machine learning, or any related field. Senior candidate should initiate
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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
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the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models, and hardware platforms
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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 5 hours agoPosted: September 15, 2026 Tenure-Track/Tenured Faculty Positions in Supercomputing/ High-Performance Computing Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty
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optimization, polynomial optimization, stochastic optimization, semidefinite programming, non-smooth optimization, and related fields. · High-Performance Scientific Computing: parallel computing (MPI, OpenMP