332 computational-physics "https:" "https:" "https:" "https:" "Chalmers" positions at Oak Ridge National Laboratory in United States
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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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Requisition Id 15859 Overview: We are seeking a Group Leader (GL) for the HPC Storage and Archive group in the National Center for Computational Sciences (NCCS). Selection will be based
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systems against adversarial threats. Leveraging ORNL’s world-class high-performance computing (HPC) infrastructure—including Frontier, the world’s first exascale system—CAISER conducts end-to-end AI
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) within three months of employment. Work will involve various physical requirements and certain working conditions and as such a post offer, pre-hire physical will be required Preferred Qualifications
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: Bachelor’s degree in physical sciences or engineering Strong records knowledge, computer skills and experience working with various commercial software applications. Motivated self-starter with the ability
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resides in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD), at ORNL. Materials for extreme operating environments is among ORNL’s signature research capabilities
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well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Physical Requirements: Work involves
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Requisition Id 16081 Overview: We are seeking an Electrical CADD Designer III who will focus on producing designs, and engineering drawings using computer-aided design (MicroStation/AutoCAD
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Computational/theoretical chemistry and/or physics, chemical engineering, materials or a closely related field completed within the last 5 years. Preferred Qualifications: Experience with coding, electronic
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Sensing Group (RSG). RSG is part of the Oak Ridge National Laboratory (ORNL) and seeks to hire qualified candidates to support photogrammetry and 3D computer vision research initiatives with emphasis