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Field
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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. Develop and document analytical tools and quantitative metrics for comparing real and synthetic PNT data. Construct network-based representations of time series data to analyze structural and temporal
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that adhere to University policy. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Structural Engineering, Civil Engineering, or closely related field Preferred
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maintaining the DataSpaces (https://dataspaces.sci.utah.edu/download/ ) project – a high-performance distributed data management framework designed for in-memory data staging and coordination in scientific
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higher education, exploring how governance structures may affect the reputation, resilience, and overall success of American colleges and universities. Limited studies have systematically tracked
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compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers offers a comprehensive benefits package to eligible
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
that include lattice gauge theory, chiral perturbation theory, hadron structure, factorization, effective theories, heavy quark physics, jet physics, heavy ion collision physics, quark-gluon plasma in QCD and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, transfection * Plant growth, genetics, and crossing (Arabidopsis thaliana, Zea mays, Amaranthus hybridus, Nicotiana tabacum) Coding (R, Python, Java) * Structure visualization and scripting (Pymol) * Confocal
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resilience framework. Integrate/interweave local and Indigenous knowledge and governance structures, as appropriate, with quantitative models to identify locally relevant resilience strategies. Collaborate
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consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and