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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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analysis, digital humanity, parallel computing with shared memory (threads and OpenMP), and distributed memory (MPI and CUDA). Provide in-depth consulting services for research groups and actively
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Professor will be responsible for teaching and research in some of these areas: computer architecture, media, database, algorithms, parallel and distributed systems, etc. Only shortlisted candidates will be
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of AI models and HPC applications, focusing on GPU-enabled computing. Implement parallel processing, distributed computing, and resource management techniques for efficient job execution. Integration and
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will develop high-performance quantum software technologies, with a focus on quantum compilers, scheduling and orchestration on parallel computing systems, including in distributed quantum computing
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remains an active subject-matter expert in HPC frameworks, distributed computing, AI-accelerated software stacks, and large-scale workflow orchestration. The role supports faculty, research staff, and
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Abstract The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in Switzerland. To achieve
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California State University San Marcos | San Marcos, California | United States | about 20 hours ago
. Includes data and control structures, run-time storage management, context-free grammars, language translation systems, programming paradigms, and distributed and parallel programming constructs. Minimum
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The Role and Department The Directorate of Advanced Research Computing (ARC) provides a broad computational capability to underpin and help define the nature of research and innovation that can be
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-technical stakeholders in cloud or large-scale computing environments. Experience with HPC environment or similar cloud services (e.g. AWS Parallel Cluster) is preferable Strong software development