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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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work will also include identifying and eliminating bottlenecks in computation, communication and storage, optimizing GPU utilization, parallelization, inter-node communication and I/O performance
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community and the general public in the Denver metropolitan area. The current strengths of the faculty are in the areas of algorithms, artificial intelligence, computer networks, graphics, parallel and
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-time Hours Per Week 37h15 Offer Starting Date 26 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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and parallelization of scientific simulation codes. In research in theoretical or computational quantum physics. In the development and application of Quantum Monte Carlo methods. Having worked
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development skills; distributed or parallel computing is a plus. Experience designing and executing field experiments in urban or environmental settings, with willingness to engage in fieldwork in dense urban
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, parallel or distributed file systems, cluster management, artificial intelligence tools and techniques, performance engineering, benchmarking and capacity planning. Advanced experience designing and
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functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed frameworks for machine
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? No Offer Description The researcher’s scientific activity will be carried out within one or more of the following areas: Computer Architectures; Databases; Parallel Computing and High-Performance
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experience in a large distributed computing environment. Previous experience in providing support for Linux HPC cluster used for scientific research. Technical Skills or Knowledge: Experience with installing