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system architecture, design, implementation, and testing including hands on work with our mock-reactor autonomous controls testbed. The primary function of this position is to develop autonomous controls
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accessibility by fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications: Phd degree in a related scientific field (e.g. architecture
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deliverables to sponsors include large-scale (country-to-global scale) datasets, unique models and algorithms that can transition to sponsor environments, geo-computing architectures to implement science methods
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that might lead to lower cost, improved performance or new neutron sensitive device architectures are of particular interest. We are also developing our own backend electronics solutions based on the Timepix
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, fairness, transparency, and reproducibility. The successful candidate will lead efforts to innovate and evaluate scientific AI models, and software architectures that emphasize the understanding and reducing
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accurate as possible across a variety of computing architectures for applications currently focused on materials and advanced manufacturing. As an R&D Group Leader you will bring together a group of
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: This position requires: A PhD in Mathematics, Applied Mathematics, Computational Science, or a
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and implementation of scalable DL algorithms, (2) design and architecture of integrated, multi-scale, coupled-physics computer codes, and (3) documentation, verification and validation, and software
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together, and measure success. Basic Qualifications: The position requires: A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years Demonstrated
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pedestal using high performance computing resources and machine learning accelerated architecture. These simulations will inform integrated modeling for decision-ready tokamak pulse simulation to perform