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graphitization processing and milling/classification processing d) polymer matrix and carbon/carbon composites processing and characterization e) melt and solution spinning process trials to produce
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI
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graphitization processing and milling/classification processing d) polymer matrix and carbon/carbon composites processing and characterization e) melt and solution spinning process trials to produce
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI
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Duties/Responsibilities: Work to develop processes and materials for composites, including ceramic matrix composites Research high temperature materials for advanced and additive manufacturing in
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epithelial cell states and breast cancer susceptibility. Investigating interactions among epithelial cells, fibroblasts, immune cells, and the extracellular matrix during early tumorigenesis
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, infrared spectroscopy, and UV/vis spectroscopy. Preferred Qualifications: Demonstrated experience in method development for Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry. Experiences in
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cell states and breast cancer susceptibility. • Investigating interactions among epithelial cells, fibroblasts, immune cells, and the extracellular matrix during early tumorigenesis. • Identifying
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three broad pillars: sparse and structured matrix computations, sparse tensor problems, and sparse network problems, as well as their interconnections. These efforts will yield significant theoretical
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, geometric deep learning, operator learning, generative models, or AI agents. Knowledge of HPC matrix, tensor and graph algorithms. Knowledge on distributed algorithms using MPI and other frameworks such