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Field
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Multi-modal Machine Learning—including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
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their graphs; polynomial, rational, exponential, and logarithmic functions; algebraic and exponential equations; and probability. Emphasis is placed on developing students’ understanding of mathematical
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has a strong PhD program in Applied Mathematics, Applied Statistics, Graph Theory/Combinatorics, and Analysis, featuring active research collaborations both within the University and with external
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should clearly demonstrate that you meet, the following criteria: Hold a PhD in Computer Science, Computer Engineering, Electronic Engineering (or related discipline). Demonstrate a strong record
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, and give direction to community efforts to improve behavioral health. William “Scott” Killgore, PhD, is a Professor of Psychiatry, Psychology, and Neuroscience that joined the University of Arizona
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full-time faculty members, whose principal research areas include Algebraic Semigroup Theory, Graph Theory, Mathematical Modeling in Medical Decision-Making, Mathematical Physics, Representation Theory
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voting) and sampling problems (such as graph partitions for redistricting) and to launch new research in areas connected to the work of the lab. Members of the lab publish in peer-reviewed journals in
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detection, scene graph generation. A prospective method is transfer learning which freezes the backbone of the LiDAR-VLM model and fine tunes its output layers to adapt it to a particular task. An important
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: Enrollment in a Master's or PhD program for Mathematics or related field Familiarity with math software/tools (e.g., MATLAB, graphing calculators, Microsoft Excel, R) Additional Information: This is a part
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(graph neural networks, diffusion models) with quantum chemistry and molecular simulations, the project aims to accelerate bottom-up material discovery for applications ranging from life sciences