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critical responsibilities. Key duties include microscopic FISH analysis, karyotyping analysis utilizing computer systems, FISH wet lab procedures, slide hybridization, PET slide preparation, and proficiency
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processing practices, for payroll staff. Serves on project teams related to Workday implementation and upgrades, user acceptance, and parallel testing. Brings experience, shares ideas, and participates in all
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
- Parallel Programming (emergency posting) Course description: Introduction to aspects of parallel programming. Topics include computer instruction execution, instruction-level parallelism, memory system
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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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build reliable, reproducible data flows for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely
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of the provisions of the collective bargaining agreement. Here, you supervise your students in courses about parallel computing, computer architecture, programming models and high performance computing
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undertake a range of critical responsibilities. Key duties include microscopic FISH analysis, karyotyping analysis utilizing computer systems, FISH wet lab procedures, slide hybridization, PET slide
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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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sintering press with selected copper pastes, followed by detailed characterization of the resulting interfaces in terms of porosity, thermal and mechanical integrity. In parallel, simulation models will be
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for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely with industry partners and public agencies