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, integrate, and optimize Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG) pipelines, and related Al technologies to support clinical educational simulations, intelligent tutoring
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tools for protein engineering. Develop, organize, and maintain reproducible computational pipelines for model execution, data processing, and analysis. Maintain well-structured project directories
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, performs the computational analysis of bulk and single-cell multiomic datasets; develops computational pipelines for the statistical analysis of high-throughput data involving gene expression, chromatin
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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Department Precollege Programs Center Overview The Center for PreCollege Programs administers precollege and pipeline programs designed to educate, inspire, and prepare students for success in secondary and
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or machine learning infrastructure, model deployment environments, or GPU-enabled systems. Familiarity with CI CD pipeline design and automation. Experience with hybrid infrastructure spanning on-premises and
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data analysis pipelines, including data from chromatin conformation, 3D spatial imaging, and super-resolution microscopy. Collaborating with experimental scientists to explore and interpret various
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Assistant will build and test analysis pipelines for Next Generation Sequencing data (including Single Cell Sequencing) from cancer patients (with special focus on prostate cancer) using Unix/Linux computing
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analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using
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tables, charts, and geographic information systems (GIS) online maps; server-side scripting to support the development of APIs and data pipelines; and SQL database design and development to support data