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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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checks. Salary: $60,000 - $65,000 Requirements: Minimal Qualifications: The successful candidate will hold a doctoral degree in computational social science, human-computer interaction, computer
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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
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relevant to the project or projects in weekly group meetings; 2) identify and/or develop hypotheses and methods for advancing the research effort; 3) design and carry out computer experiments 4) collaborate