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the development, evaluation and application of innovative AI, machine learning and systems approaches to modeling biomedical big data for precision health. We are particularly interested in AI methods
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The Extension Agent for Family and Consumer Sciences will develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living for families & individuals
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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
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University of New Jersey, is seeking a Student Assistant for the department of Neurology at the Robert Wood Johnson Medical School. The mission of the lab is to follow a network-based approach to understand
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, cognition and therapeutic adaptations. This may include use of therapeutic exercise, physical agents, manual therapy, and splinting. PRIMARY JOB RESPONSIBILITIES Demonstrate working knowledge of disease
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highly desirable) AI/ML for predictive modeling and inverse design of nanomaterials Autonomous laboratories for materials synthesis and characterization Generative models, reinforcement learning, and agent
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agents, Extension specialists, Family & Community Health Sciences educators, and Agriculture and Natural Resources agents work to serve New Jersey residents in every area of the state. The Rutgers
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) Experience with Large Language Models solutions (agents, RAG) Additional Information PERSON SPECIFICATION We want to employ people with a wide variety of experiences. We welcome applications from all sections
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vector search, embedding pipelines, or retrieval-augmented generation (RAG) components. Contribute to orchestrating AI workflows or agent-based pipelines using Lakehouse AI capabilities. Develop CI/CD
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of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training