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reconstruction using Fourier domain optical normalization." Light-Science and Applications 5: el 60389, 2016. http://dx.doi.org/10.1038/Isa.2016.38 Henn MA, et al: "Optimizing the nanoscale quantitative optical
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of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process To apply fill out the form available at the following website: https://careers.polito.it/ Website
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Posting Details Position Information Job Title Assistant/Associate/Full Professor Optimization and Statistics Posting Number P2233F Position Summary Information Job Description Summary The Auburn
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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DFT, beyond-DFT, and experimental techniques. We are also interested in developing both forward and inverse machine learning models to accelerate and optimize the design processes. We work in close
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application development. We are seeking up to two Process Engineers or Research Scientists with hands-on experience in packaging and assembly of photonic integrated circuits (PICs). The selected candidates will
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, layout generation, nanofabrication, laboratory characterization and application development. Experiment automation, measurement optimization, hardware and software development for collection and processing
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas