58 engineering-computation-"https:" "https:" "https:" "https:" "https:" "Aix Marseille Université" Postdoctoral positions at Oak Ridge National Laboratory in United States
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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reside in the Materials Joining Group in the Materials Analysis and Interface Science Section, Materials Science and Technology Division, Physical Sciences Directorate, at Oak Ridge National Laboratory
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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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), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop physics-based computational models, including Finite Element Analysis (FEA
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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funded by the U.S. Department of Energy (DOE) Office of Basic Energy Sciences (BES) in the Materials Sciences and Technology Division (MSTD). The successful candidate will be expected to work effectively
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Equipment Integration Group in the Building Technology Research Section, Buildings and Transportation Science Division, Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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to microelectronic devices and low-power, three-dimensional, non-von Neumann computing architectures. You will utilize ORNL’s unique ultra-high-vacuum, glovebox, and ambient atomic force microscopy capabilities