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for interacting with colleagues and stakeholders. Department Specifics: Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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develop end products Provides ready access to all experimental data for the faculty researchers, supervisors, and other relevant staff. Requests or acquires equipment and supplies for assigned project(s
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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Develop/use various machine learning and data mining models including convolutional neural networks (CNNs) Transformers, large language models (LLMs), and Vision Language Models (VLMs) Analyze electronics
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experience with AI model development, including fine-tuning, applying and evaluating large language models for tasks such as information extraction, summarization, and other biomedical or clinical applications
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enterprise and drive critical business initiatives through analysis and communication of data. This role participates throughout the initiative lifecycle – including idea generation, initiative scoping
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- media computer equipment including integrated equipment. Daily Operations Assist with the physical maintenance, troubleshooting, and repair of the audio/video equipment and other multi-media equipment
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large shipments. • Monitors loading dock for parking and facilities issues. • Transports library staff, collections, and library equipment to off-site storage using library van; may need to adjust van
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policies and procedures. Core Responsibilities: Obtains, confirms, and enters demographic, financial, and clinical information necessary for financial clearance of scheduled patient accounts. Contacts
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Patient Access Representative 1. Core Job Summary: Performs full registration and ensures that insurance is verified, and all patients’ information is correct. Obtains copies of insurance cards, driver’s