12 parallel-computing-numerical-methods Postdoctoral positions at University of Delaware
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Researcher, you will support Prof. Yuping Zeng with the frontier of analog circuit design, implementation and characterization, preferably for neuromorphic computing with emerging devices. Major
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Computing Group Context of the position The Trustworthy Computing Group in the Department of Electrical and Computer Engineering (ECE) at the University of Delaware (UD) invites applications for a post
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, and study intercultural exchange. The Program in Jewish Studies is an interdisciplinary program that offers a minor in Jewish Studies or Jewish Studies with Hebrew language, with collaborative ties
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rise (SLR) and flooding. Integrate field data (e.g., salinity, nutrient levels, soil and water properties) into the development of numerical models to enhance predictive accuracy. Apply machine learning
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high-quality computational research on viral protein dynamics. Construct molecular models, integrating data from experimental sources. Design, program, and execute hypothesis-driven analyses of molecular
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, and virologists as a member of the PCHPI center. The selected candidate will participate in the development, testing and implementation of novel computational methods that incorporate experimental data
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conditions under which difficulties occur in the syringability of suspensions characteristic of injectable formulations and develop methods to mitigate such issues. This will be achieved in part through
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Physics, Chemistry, or related fields. • A strong demonstrated background in method development in ultrafast laser spectroscopy is required. • Background in time-domain THz spectroscopy and/or 2D
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must have experience with and knowledge of computer programming for the purpose of coding web-based valuation tools that can be used for benefit cost analyses and optimization approaches. The successful
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to advance the intersection of these fields requires extensive familiarity with experimental and computational analysis of soil communities, ecological theory, and familiarity with machine learning. We expect