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Field
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strategies. Collaborate with ARS and University scientists, employing genomic tools and molecular markers to aid in the discovery and characterization of novel biological control agents. Conduct rigorous
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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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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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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Primary Purpose: We are seeking a highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on developing a novel ultrasound molecular imaging contrast agent
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of the effects of insect or disease disturbances on forests across the U.S. based on forest inventory data and use a forest simulation model to project the future effects of those agents on forests
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posts) [Appointment period: each for three to six months] Duties The appointees will assist the project leader in the research project – “Urban smart digital services via LLM-based multi-agent
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TEC. 2. OBJECTIVES: - Review of techniques and work related to Agentic Retrieval-Augmented Generation (Agentic RAG) architectures, multi-agent systems, and the integration of heterogeneous data sources
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 7 hours ago
to other adventitious agent testing. Learning outcomes include: Upon completion, you will gain proficiency in USP microbiological laboratory research as well as a thorough understanding of the regulatory
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content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and