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, equitable, trustworthy, and context-sensitive. Multi-agent architectures where multiple AI systems collaborate, negotiate, and adapt to model complex human learning processes and support group work
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, architecture simulation and prototyping for future computer systems and their applications, to reach multiple orders of magnitude better performance, energy-efficiency, and total-cost-of-ownership. We
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distribution networks, considering solutions such as FL Energy's OperatorFabric.; - Study human-machine interaction methodologies that reduce the complexity of supervising multiple distribution networks
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: understanding how they can be used to reconstruct sensitive client data and designing robust defense mechanisms to protect against such threats. Context Federated Learning (FL) enables multiple clients
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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, ensuring data integrity, performance, and scalability Develop and maintain Python-based data processing pipelines and backend services Build and enhance web applications and user interfaces for data
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Python for automation, working with cloud platforms (Azure preferred, GCP or AWS), and supporting modern analytics engineering with tools like DBT. Design and implement enterprise data integration
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. The focus of Dr. Taniuchi's lab is developing PCR-based assays to detect pathogens in stool and wastewater for the surveillance of SARS-CoV-2, poliovirus, and multiple enteric pathogens. Previous experience
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using a content management system (CMS). The Oden Institute is currently utilizing Django CMS. Minimum one year of experience with MySQL, Python, CSS, HTML, and JavaScript. Exhibit familiarity with
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: ESSENTIAL FUNCTIONS: Strategize, develop, and maintain software applications and systems using diverse web and service technologies like PHP, .Net, and Python. Seamlessly integrate third-party APIs and