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Field
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performance monitoring, calibration, and instrument benchmarking. Develop, optimize, and standardize experimental and imaging protocols, contributing to improved reproducibility and methodological rigor across
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tools for perturbing and imaging the brain. For examples of our recent breakthroughs, see our publications in Cell and Nature Communications on advanced voltage indicators for recording electrical
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
: Optimizing waveguide geometries and micro-resonator architectures to enhance nonlinear optical conversion efficiency (e.g., via SPDC or SFWM) while maintaining high spectral purity. Dispersion Engineering
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in developing and optimizing infection models. In addition, the postdoctoral associate will have the opportunity to work in a collaborative environment, gain experience in studying polymicrobial
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Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home
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tissues. An integrated interdisciplinary approach has the potential to dramatically accelerate healing and optimize functional recovery following a range of tissue damage levels and even help prevent
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depth of research excellence across a range of disciplines, with activities that are currently concentrated around three Research Challenges (Sustainable Infrastructure, Future Energy Systems and Advanced
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(GC-QTOF-MS) for the analysis of different biological matrices, such as cell extracts, human and animal tissues. These established platforms need to be refined and further tailored to the analysis
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candidate will work on pioneering altermagnetic devices within the EIC Pathfinder Open project "AMSwitch". The research targets energy-efficient logic devices that exploit the Néel vector and Berry curvature
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) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self