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also work with diverse signal modalities, including vision, speech, images, and physiological signals. Preferred Experience: The lab highly values candidates with one or more of the following experiences
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and 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
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also participate actively in undergraduate training through research supervision, laboratory instruction, and hands-on mentoring in experimental design and scientific instrument development. Applicants
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