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. Disciplines where we are seeking lecturers in lieu of GSIs include: Computational Chemistry Scientific Computing Bioinformatics Machine Learning/Deep Learning High Performance Computing Complex mathematical
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, AB, Canada (On-site) Category Type Computing - Network/System Administration Position Type Faculty (Includes Asst. Professors, Associate Professors) College/Administrative Portfolio College of Natural
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and emerging research initiatives Utilize programming, scripting, and command-line tools in high-performance computing environments to execute, troubleshoot, and enhance computational analyses of
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developmental, ageing or neuropsychiatric cohorts, including longitudinal or large-scale population datasets. · High-performance computing, reproducible workflow development, version control and
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technology in both computing and networking arenas. IT Security certifications held or in progress is an asset. High-performance computing systems management and networking is highly desirable. Expert
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Python and modern deep learning frameworks. ● Experience with High-performance Computing Infrastructure and GPU clusters. ● Strong research background in multimodal modeling, representation learning
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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 | 8 days agoafter 5 seconds) Save job Click to add the job to your shortlist Send job Job Details Posted: September 15, 2026 Tenure-Track/Tenured Faculty Positions in Supercomputing/ High-Performance Computing
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technology services through the planning, implementation, and continuous improvement of end-user computing and collaboration environments. The incumbent provides technical leadership and operational
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. Responsibilities: Build and optimize computational meshes for numerical simulations. Set up and validate simulation boundary conditions. Perform simulations using high-performance computing resources
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learning and language models. ● Demonstrated experience analyzing large-scale health or biomedical datasets. ● Proficiency with Python, Git, and high-performance computing or GPU cluster