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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms
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systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python, using modern practices for software development, testing, documentation, and version control
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problems, and you will apply your work in multidisciplinary domains alongside globally recognized experts. You will bring creative thinking, teamwork, and hardware-software co-design skills to bear as you
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, connected infrastructure, and traffic control systems. Plan and conduct testing and evaluation through simulation, software- and hardware-in-the-loop, vehicle-in-the-loop, dynamometer, and on-road field
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publications and conference presentations in top venues, invited talks, and organized workshops, tutorials, and symposiums. Releasing research software as open-source libraries and contributing to community
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. Writing and communication skills and the ability to publish. Preferred Qualifications: Experience with Multiphysics software and simulations an asset. Previous experience with the development and
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for microscopy, spectroscopy, interferometry, or quantum-optics experiments. Experience acquiring and analyzing experimental data using Python, MATLAB, LabVIEW, or comparable scientific software. Preferred
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machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
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for the collection of in-situ mechanical testing data. Knowledge of scientific software in python (numpy, scipy, pandas) or related data analysis suite. Record of productive and creative research as demonstrated by
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community electrification and decarbonization. Understanding for creating, modifying, and analyzing OpenStudio and EnergyPlus building energy models. Strong software development skills for automation of many