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techniques. By integrating Quantum Graph Neural Networks (QGNNs) and quantum-assisted neural networks with classical methods like Knowledge Graphs and Geometric Deep Learning (GDL), the study seeks to enhance
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along the United States Mid-Atlantic and Northeast Atlantic Coast. Learning Objectives: The selected mentee will learn the theory behind and techniques to examine the resilience of tidal wetlands and
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. Description: Long-term basic research focuses on integrating nonlinear dynamics, bifurcation theory, and chaotic dynamics with computational physics and computational sciences. We are particularly interested in
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fabrication, analysis, and theory, and is active in both orbital (Planck) and sub-orbital (e.g., QUIET) experiments. Opportunities exist in all areas. Location: Jet Propulsion Laboratory Pasadena, California
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the applicability of the use of big datasets for evaluation of stochastic properties of the atmosphere for given geodetic stations over a defined time interval by utilizing advances of turbulence theory. Location
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charged particles move through randomly disordered magnetic fields. Current research centers on shock acceleration theories and how they may explain the energy spectrum of these high-energy particles
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theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing
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contribute to our understanding. The research related to this opportunity will explore advances in theory which can provide more robust interpretations or better observing strategies for upcoming observations
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providing the opportunity to participants to: Develop skills and knowledge in their field of study Engage with new areas of basic and applied research Transition classroom theory into hands-on experience