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data. ● Prior experience using high-performance computing and/or cloud computing environments for scientific computation. ● Experience building or applying machine learning models. ● Prior experience
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implement cloud-native data pipelines connecting lab instruments, databases, and AI models Support model deployment, inference services, and experiment tracking (e.g., MLflow) Integrate LLM reasoning with
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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Postdoctoral Associate in Health Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral
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science teams Experience with scientific computing and numerical libraries; database design and management (SQL/NoSQL), data catalogs, or research data repositories; and cloud platforms and containerization
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and ~30% FTE between grant funded scholarship. Teaching roles are envisioned to include guest lectures and seminars, as well as advising biomedical informatics graduate students and postdocs. Research
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the Future: Be part of building a cutting-edge research institute from the ground up! Postdoctoral Positions available in … https://www.oeaw.ac.at/aithyra/postdoc-search Designing New High-Throughput Methods
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more: https://www.hr.utah.edu/benefits Responsibilities Responsibilities: Work with faculty and students in designing and developing computational tools in support of research projects. Aid in
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more: https://www.hr.utah.edu/benefits Responsibilities Responsibilities: Work with faculty and students in designing and developing computational tools in support of research projects. Aid in