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Field
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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 27 days 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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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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on Phase Field modelling and High-Performance Computing (HPC) for geophysical applications. The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school
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factors: The research grant will be awarded preferably to a candidate that demonstrates: strong expertise in parallel architectures experience with real-world computational patterns and their mapping onto
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must have advanced training in fundamental physics and/or scientific computing, with an ability to handle massively parallel simulation codes and to contribute to their development. Experience with
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; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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experience parallelizing serial computational applications. Strong background in data analytics. Proficiency with one or more of Python (NumPy/SciPy/Pandas), R, MATLAB, etc. Familiarity with containers such as
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parallelizing serial computational applications. Experience in data analytics. Proficiency with one or more of Python (NumPy/SciPy/Pandas), R, MATLAB, etc. Familiarity with containers such as Singularity