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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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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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of theproject: 1. Initial coordination of the project 2. Optimization of the bed receiver using AI from the data already available. This consists of the operation of the bed under direct and indirect mode, using
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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
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an optoelectronic process for 980 nm high-power diamond laser diodes. In this context, the role of the LSPM is to provide polycrystalline diamond layers 2 to 4 inches in diameter with optimized mechanical
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, the development of optimal dam operation methodologies, and the integrated application of these approaches. In Japan, studies on dam operation optimization have highlighted the need for a quantitative understanding
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new insights in mechanism design, online auctions, and stochastic decision processes, where interdependence plays a crucial role. [1] Mauras, Simon, et al. "Optimal Stopping with Interdependent Values
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of suitable catalysts and the optimization of operating conditions. This project aims to investigate the catalytic conversion of phenolic monomers via the catalytic hydrogen transfer process in both gas and
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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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-the-loop (HIL) validation. The Research Staff will contribute to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based