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programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries. System software stack
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. Assisting researchers in porting, optimizing, and parallelizing their applications for QC environments, offering guidance on software development, debugging, and profiling as needed. Creating and maintaining
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be controlled, measured, and related to the thermal and mechanical properties of the foams. Several formulations and systems will be studied in parallel to shed light on these three issues
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Fall 2026. Knowledge of parallel programming and experience developing methods for 2D and 3D problems are critical. Experience working with open source software frameworks and/or using modern open
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? parallel computing, resource allocation, multiple threads, etc. Proficiency in configuring jobs for a parallel environment, specifically allocating adequate memory and nodes to meet specific time/budget. In
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infections. In addition, recent advances in massively parallel cell tracking now make it possible to address long-standing questions about how bacteria have adapted to survive in unpredictable environments
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showing strong parallels with military pilot selection and training, including the rapid evolution of manned space flight training. Current selection techniques and Spaceflight and Operations Training
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of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and
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to basis set size. We are working on methods that will allow us to solve the time-dependent Schrödinger equation more quickly. In this project you will develop new (parallel) methods based around accelerated
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with a background in Linux system administration, supercomputing clusters, parallel file systems (Lustre preferred) and university research applications. ESSENTIAL DUTIES AND RESPONSIBILITIES Provide