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of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell
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of the infrastructure. Proactively monitor, test, collect and analyze system performance statistical data to improve quality of the network environment. Diagnose and resolve complex configuration and troubleshooting
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of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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. Experience with modelling and simulation of complex, interdisciplinary systems Knowledge of computer architecture, computer networking, and experience with the development of virtualization technologies and/or
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risk analysis. Computational dosimetry using stylized, voxel and mesh-type anthropomorphic phantoms Compilation and evaluation of radionuclide decay data and the construction of environmental source
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for complex aerodynamic systems in the support of the nonproliferation mission space. This position will involve the creation and use of custom developed and off-the-shelf computational approaches in a research
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, career fairs, conferences, and professional organizations to strengthen employer brand and expand talent networks. Leverage diverse sourcing channels including social media, professional networks, academic
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who will be responsible for the end-to-end design, development, integration, deployment, and sustainment of complex systems that include both software and hardware/infrastructure components. You will
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software for complex aerodynamic systems in the support of the nonproliferation mission space. This position will involve the creation and use of custom developed and off-the-shelf computational approaches