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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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on an optical table and integrating novel optics to microscopy are a requirement for this position. Knowledge in computational imaging, mathematical modeling, strong computer programming skills in MATLAB and/or
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Applied Mathematics and Plasma Physics (T-5) group at Los Alamos National Laboratory is seeking qualified Postdoctoral Research Associates. You will complete research projects on various potential topics
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Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve surveillance, prevention, and control of infectious
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description and working tasks Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized functions as offered by libraries
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been shown to accelerate and improve the training procedure of SNNs by defining new cost functions that are differentiable and easier to optimize. They can also handle quantized weights, e.g., using
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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development/engineering skills. · Mathematical proficiency, with a focus on subjects including linear algebra, vector calculus, optimization, and statistics/probability. TO APPLY: Please visit https
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints