80 applied-physics-"https:"-"https:"-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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that combines mechanistic ecophysiology with AI, such as: Physics-informed machine learning and neutral networks to investigate plant physiological / abiotic relationships Bayesian statistics and neural and
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Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
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applying machine learning for materials and/or process discovery, particularly quantum and/or microelectronic materials Expertise in using or developing agentic tools for automation of scientific discovery
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software, and heterogeneous execution environments. Explore and analyze different quantum computing modalities and architectures and investigate their integration with HPC systems. Use representative
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Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop algorithms
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Requisition Id 16887 Overview: We are seeking a Postdoctoral Research Associate who will support the Ceramics and Ceramics Composites (CCC) Group within the Materials Science and Engineering
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Requisition Id 16841 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy Laboratory, conducting basic and applied research to deliver transformative
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partnerships that advance fiber technology. The role also includes presenting and reporting research results promptly, publishing scientific work in peer-reviewed journals, and sharing findings at scientific
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
-state physics, ferroelectrics and/or 2D materials. Strong background in developing and/or applying materials simulation methods, such as atomistic simulations using electronic-structure and/or machine