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Scholar position in Folklore in the Age of Algorithms and AI for the upcoming 2025/2026 academic year. The digital and social media platforms where we conduct much of our everyday expression today
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Description NREL is seeking a postdoc to design, train, and analyze the AI/ML and control algorithms for hybrid energy systems including industrial systems, building controls, and advanced energy systems
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will learn machine learning methodologies and assist in developing algorithms for real-world applications, including health monitoring and diagnosis. The role also required attending weekly meetings
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Coordinate patient visits to clinic. Organize study participant charts and files, and distribute to appropriate location Collect required data from study coordinators and research nurses, and enter onto
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cutting-edge research and work closely with experienced professionals in the field. Duties and Responsibilities · Assist in data collection and preprocessing · Implement machine learning algorithms
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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recruitment by distributing flyers and communicating with community partners Respond to Spanish-speaking participants via email, phone, or text Assist with scheduling and reminders for virtual focus groups
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Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which requires presence
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsibilities: -Develop and implement advanced numerical algorithms and deep learning
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structure data to test existing algorithms and design improved methodologies for clinical applications. Purpose The Research Engineering Scientist Assistant will support research in AI for healthcare and drug