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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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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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maintenance of a viable research program. The candidate's research program should contribute to the areas of parallel scientific computing, with experience in several of the following areas: mesh generation
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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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features and close to material failure at high rate (e.g. extreme deformation, contacts, failure). Furthermore, you will have the opportunity to assess the scalability of IGA in Massively Parallel Processing
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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Skills and Qualifications: Experience with high-performance computing and parallel computing Familiarity with data
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well as travel to and present at those events where appropriate. Current projects include: parallel numerical optimization with a focus on GPU acceleration, efficient embedded edge computing and machine learning
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Data Management and Network/Computing ContinuumCloud computing has significantly increased the volume of data consumed daily, but it has also centralized somehow the storage of data. With
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of computational platforms. We also want to improve the accessibility of STEM education. We therefore undertake research at the intersection of Robotics and Computer Architecture, Embedded Systems