58 post-doc-computer-graphics Postdoctoral positions at Oak Ridge National Laboratory
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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languages Hands-on experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL) Experience working on high-performance computing (HPC) systems
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high level of scientific productivity. Ensuring compliance with environment, safety, health, and quality program requirements. Maintaining a strong commitment to the implementation and perpetuation
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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
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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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), 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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Requisition Id 16104 Overview: The Quantum Heterostructures Group is seeking outstanding candidates for a postdoctoral position in quantum information science. You will conduct experimental
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timely manner Maintain strong commitment to the implementation and perpetuation of ORNL core values and ethics Basic Qualifications: A PhD related to computational or theoretical physics, chemistry
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/device models into open-source software tools for integrated system dynamic and transient simulations. Integrate post-processing measures for simulations to help with automation. Deliver ORNL’s mission by