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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
supercomputers. IT4Innovations also operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . Activity description: · development of methods for acceleration of parallel applications
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applications; initiates and leads research and development in the areas of data management systems for high performance computing (HPC), parallel computing systems; collaborates with faculty, research staff
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. Supporting parallel TEM-related projects within the Hydrogeophysics Group, including airborne and ground-based EM surveys in other regions such as Kenya. Required Qualifications Master’s degree in geophysics
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accompanied by parallel qualitative work and economic evaluation. 99 general practices in Wales, North-West England and South of England have been randomised to the ‘ThinkCancer!’ intervention or usual practice
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modelling framework developed in Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming
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systems, ensure flow of multiple projects in parallel, data collection and storage. Reviews and tests robotics operations to define and correct errors and improve the output. Uses AI-based algorithms
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, parallel execution, and distributed training or simulation workloads. Ensure high reliability of research workflows through robust monitoring, logging, and performance analysis systems. Guide the integration
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of the computing infrastructure that powers both data and computer intensive research. From high-performance computing clusters and parallel storage to data management and automation tools, you’ll help shape and
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
description: The Scientific Computing Center is the Information Technology Center of KIT. The Research Group Exascale Algorithm Engineering of SCC works at the interface of algorithmics, parallel computing, and
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/C++, and Python. Working knowledge for parallel programming models (MPI, OpenMP, CUDA, SYCL) Proven track record in GPU driver development, performance profiling, and debugging. Familiarity with Linux