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learning (ML), artificial intelligence (AI), and data science; systems theory, optimal control, and discrete-event systems; quantum computing; and high-performance computing. We welcome candidates from a
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
systems; understanding wavefront control interactions in these dual-mirror, high-order adaptive optics systems; and understanding the optimal phasing solution for HWO to maximize Strehl and contrast
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-supervised learning. Familiarity with neuroscience, or ethology is a plus. Position 2 — additional desirable expertise: reinforcement learning, imitation learning, optimal control, dynamical systems, or
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as Bayesian modelling and optimal control theory. Using state-of-the-art methods – including virtual reality, wearable sensing, motion platforms and advanced data analytics – you will place particular
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, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty quantification, model order reduction, data assimilation, optimal control, and their
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monitor and quantify feedstock properties, then adapt the resulting metamaterial, to better control the manufacturing process. The end result will be prototype metamaterials that can be manufactured to
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) incorporating symmetries and constraints into neural network models. Of particular interest are candidates who have a background and/or interest in one or more of the following: optimization and optimal control
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focuses on experimentally demonstrating coherent spin shuttling, shuttling-compatible high-fidelity qubit control and further ingredients for a shuttling-based architecture, using devices from
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, optimal transport, gradient flows, uncertainty quantification, model order reduction, data assimilation, optimal control, and their applications. The successful applicant is expected to complement the
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motor control, behavioral readouts across species offer the potential to overcome one grand challenge in neuroscience: bridging the gap between molecular, cellular, and systems levels. Importantly, the