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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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this, these simulations need to be massively parallelized. The objective of this thesis is to implement and evaluate different contingency parallelization approaches using our group's computational infrastructure
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-performance computing, including parallel or GPU programming (MPI, OpenMP, CUDA, Kokkos, etc.) Familiarity with modern software development practices, including debugging, profiling, and version control
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protein expression and purification, capable of producing thousands of proteins in parallel within weeks . 2) Eukaryotic expression systems facility for production of challenging protein targets. 3) A fully
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engagement whilst working on multiple projects in parallel; strong communication and collaboration skills and experience in presenting and influencing to a range of audiences, senior management, and
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Computing (HPC) knowledge around cluster builds, software, parallel computing, workload management, and cluster management. Knowledge with CUDA Programming Workflows, GPU programming, and GPU support
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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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Applicants: Position is eligible for hybrid work subject to University policy . Job Summary: The High Performance Computing Systems Administrator IV works in the Office of Information Technology’s research
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Applicants: Position is eligible for hybrid work subject to University policy . Job Summary: The High Performance Computing Systems Administrator III works in the Office of Information Technology’s research
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version control systems (e.g., git) Parallel computing on high-performance computing systems Finite element analysis Effective at producing scientific reports and presenting findings/conclusions resulting