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thermodynamics of spin accumulation, skyrmions and spin textures. What You Will Do: Design and synthesize thin film and multilayered magnetic systems using state-of-the-art sputtering and e-beam evaporation
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algebra, Fourier analysis, and deep-learning to solve inverse problems from noisy, incomplete, and heterogeneous data to obtain state-of-the-art reconstructions. You will work in a multi-disciplinary team
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knowledge to advance the state of the art and market adoption of commissioning, demand flexibility, optimal control, and fault detection and diagnostic tools Partner with industry stakeholders to evolve
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application of state-of-art theoretical chemistry tools to investigate ultrafast phenomena for large, and complex interfacial systems. A primary goal will be bridging the time scale and length scale gap for non
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of the art and market adoption of commissioning, demand flexibility, optimal control, and fault detection and diagnostic tools Partner with industry stakeholders to evolve technology and service offerings and
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to apply state-of-the-art techniques to applied problems. Conceive and execute research that is novel and can lead to high impact. Work as part of a team to execute projects. Interface with research
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synthesis in non-model hosts and perform final strain and product analysis in bioreactors. This role will work in a team with expert scientists, developing state-of-the-art synthetic biology tools and
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by HydroGEN 2.0 using specialized tools and expertise located at LBNL. Work will be guided by performance metrics which are developed via life cycle and techno- economic assessment of state of the art
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analysis, theory, and/or simulation of cosmology data sets; the design and development of state-of-the-art instrumentation; the application of Artificial Intelligence / Machine Learning to problems in
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salt electrochemistry. Why Join Us: Be a part of a cutting-edge team at the forefront of clean energy research. Access state-of-the-art instrumentation at Berkeley Lab, enabling groundbreaking