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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 California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
management of a state-of-the-art medical imaging research data center. The environment includes a robust multi-CPU/GPU architecture with virtual and physical servers, supporting advanced parallel computation
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-performance computing (HPC), parallel computing frameworks (such as MPI, OpenMP) and GPU acceleration. Proven experience administering, configuring, and optimising HPC clusters and GPU systems (e.g. CUDA
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in C, C++, or Fortran (Python or MATLAB is a plus). Experience with parallel computing techniques and subsystem-based simulation approaches. Familiarity with power electronics modelling, including
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, information theory, clustering. Familiar with: computer science: tool development, 3D rendering, databasing, multi-threading, parallel port computing. Other qualifying skills & abilities: Excellent written and
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arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant
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regularly maintained for continuous integration. Optimize HPC Workflows: Collaborate with computational scientists to optimize parallel computing workflows and port research tools to high-end computing
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contributing to the care of thoracic oncology patients. Our vision is to be the leader in multidisciplinary patient care by employing advanced technology and innovative treatment techniques. Parallel
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interdisciplinary research. These are times of opportunity as the faculty implements a fundamental review of the education portfolio with programme ideas moving into the development stage. This work runs in parallel
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational