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Field
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Would you be interested in exploring how multi-agent aerial manipulation can contribute to construction, in particular by assembling a pavilion? Job description Advancement of aerial robotics
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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
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Researcher (R4) Positions Postdoc Positions Application Deadline 2 Sep 2026 - 17:00 (Europe/Paris) Country France Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan
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science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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Researcher (R2) Positions Postdoc Positions Application Deadline 3 Aug 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not Applicable Hours Per Week 35 Offer Starting
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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cryoprotective agent (CPA) solutions. This role bridges the gap between a BS degree and applied research experience, enabling pathways to graduate school, medical school, or industry. Beyond the technical skills
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven