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collaboration with the Principal Investigators. More specifically, the individual will: ● Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; ● Create data
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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, including extensive material relating to the language and ceramics of the ancient Maya elite. Dumbarton Oaks invites applications for a Postdoctoral Fellow to join a team working to create comprehensive
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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, etc. Proficiency in Docker for creating a reproducible execution environment and Workflow Description Language for orchestrating complex tasks. Strong understanding of AWS services (EC2, S3) or similar