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of gallium, graphite and rare earth elements from brine and minerals. Conduct research in benchmarking newly developed critical material separation processes relative to the current state of the art. Research
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to contribute to development of alloys with desirable advances in mechanical properties, thermal/electrical properties, and processability. A background in casting, additive manufacturing, solid-state processing
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development practices including testing and documentation. The scientific effort will focus on the ground state, finite temperature and linear response properties of alloys, magnetic and quantum materials
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, additive manufacturing, solid-state processing (rolling, extrusion, wiredrawing etc.), mechanical properties (creep, fatigue, tensile properties), microstructural analysis, thermal/electrical properties will
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cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are
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state-of-the-art high-performance computing. Key Research Areas: AI for Science: Research and development of large-scale AI models for science, focusing on pre-training, instruction-based fine-tuning, and
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– in how we treat one another, work together, and measure success. Basic Qualifications: PhD (completed by start date) in plant ecophysiology, plant biology, ecology, Earth system science, or related
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related field. Compiler and Systems Expertise: Strong experience with LLVM (e.g., writing passes, IR transformations) and HPC programming in C++, MPI, OpenMP, CUDA, or related models. Solid understanding
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Requisition Id 16541 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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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
and 2D memristive materials). As a Postdoctoral Research Associate, you will contribute to research in these areas, bridging state-of-the-art atomistic and mesoscopic simulation methods as indicated