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The Department of Astrophysical Sciences, Princeton University, anticipates offering a number of postdoctoral or more senior research positions in theory, observation, and instrumentation, including
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-performance clusters are required. Knowledge, Skills, and Abilities: · Knowledge in advanced statistical theory and methods. · Strong optimization and computational skills to process large-scale
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doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience in antenna theory and design Experience in semiconductor device technology
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, Larsson, J. Chem. Theory Comput., 2024, https://doi.org/10.1021/acs.jctc.4c01185 Larsson, Mol. Phys, 2024, https://doi.org/10.1080/00268976.2024.2306881 Larsson et al., J. Am. Chem. Soc. 2022, https
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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on exoplanets. The position will be supervised by Professors David Catling and Joshua Krissansen-Totton. This theory project is funded by the Alfred P. Sloan Foundation and does not depend on federal grants
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding
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Institutes of Health. The focus is on using concepts and techniques from statistical learning techniques, signal processing, machine learning, information theory and nonlinear dynamics. Villanova is a Catholic