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an understanding of the critical learning challenges and opportunities present within a culturally, economically, geographically, linguistically, racially, and socially diverse student population. Must possess
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LS-DYNA is highly desirable. Knowledge of machine learning (ML) and large language models (LLM) and experience with SHM systems, sensor technologies, model updating, and long-term performance
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desirable. Knowledge of machine learning (ML) and large language models (LLM) and experience with SHM systems, sensor technologies, model updating, and long-term performance monitoring are desirable. In
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. Performs routine checks of data for completeness, accuracy, and consistency. Prepares basic data summaries, tables, codebooks, or visualizations using a statistical language(s) under supervision. Maintains
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to appropriate resources and care. Identify patient barriers to care such as transportation, insurance, and language barriers, and connect patients as needed to additional resources to support engagement in care
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. Demonstrated experience designing analytical frameworks, and experience using machine learning algorithms and Bayesian statistics within the R-language. Demonstrated experience managing project workflows and
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invites applications for a full-time, Non-Tenure Teaching Track, Assistant Professor position with a specialization in Generative AI, Large Language Models (LLMs), and Deep Learning. We seek a dynamic
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with Windows /MAC OS X operating systems • Basic computer knowledge • Basic knowledge of programming in some language • Basic MS Excel knowledge • Good people skills • Proficiency with presentation
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focused on the evolution of our clinical spaces and labs, being in the forefront of education in physical and occupational therapy and speech-language pathology and conducting research to optimize patient
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of one language into another. In this seminar, we plan to build on this exciting intellectual entry point by focusing on the role that translation has played across academic, artistic, and everyday spaces