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for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings—are especially encouraged to apply
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engineering principles Experience working safely with hazardous materials using engineering controls such as gloveboxes is desired. Knowledge of the use of computers to design and control experiments and to
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materials from complex feedstocks to achieve the desired product quality and form. As a part of this team, you will: Apply electrochemical engineering principles to develop processes such as oxide reduction
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familiarity in machine learning (ML) and artificial intelligence (AI). This role is pivotal in evaluating the economic competitiveness of the U.S. in the production and manufacturing of energy-related materials
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to three years of experience or equivalent in the scientific application of this knowledge and practical laboratory experience. To perform the essential functions of this position successful applicants
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. The successful candidate will have the opportunity to work with interdisciplinary research teams, collaborate with universities, industry, and national laboratory partners, and contribute to the development
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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to contribute to cutting-edge research in catalysis, with a focus mechanistic investigation of surface effects in non-traditional catalyst systems In this role you will • Conduct research as part of a
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at surfaces and interfaces. This will involve work in areas including the development of ultra-wide bandgap semiconductor thin films with a focus on in situ metrology and the implementation of autonomous
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magnetic thin films, patterned structures, and complex interfaces. In this advertised role, you will be conducting real-space imaging of magnetic heterostructures using LTEM to understand spin textures and