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Postdoctoral Research Associate - Theory-in-the-loop of Autonomous Experiments for Materials-by-Desi
carlo), as well as experience in developing and/or applying advanced AI/ML methods to accelerate materials discovery. The project will involve integrating such theory-informed AI-models for creating
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Research Associate to develop and apply computational technique for advanced manufacturing using high-performance computing resources. ORNL’s CCP conduct world-leading research and development in multi-scale
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Requisition Id 15885 Overview: We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation
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Requisition Id 15892 Overview: We are seeking a Postdoctoral Research Associate to conduct advanced materials research focused on the development of cast, additively manufactured, and wrought
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transparent data movement, multi-agent collaboration, and workflow modularization. Dynamic Workflow Schema Development: Design rich, metadata-driven dataflow schemas for tracking provenance, enabling efficient
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of scientific AI. Focus Areas: Cross-Domain Interoperability: Develop common readiness templates, standardized metadata models, and APIs to enable seamless integration across diverse scientific domains
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Requisition Id 15721 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development and implementation of novel quantum algorithms for materials simulation, with
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variety of projects involving internal and external dosimetry and radiation risk analysis. The CRPK provides technical assistance to U.S. federal agencies involved in development of federal guidance
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
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for additive manufacturing (AM). The candidate will aid staff in conducting high quality research by developing, integrating, and deploying advanced sensing modalities (e.g., thermal, optical, acoustic, etc