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closely related field completed within the last 5 years Experience with computational modeling of electronic and magnetic properties Preferred Qualifications: An excellent record of productive and creative
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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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research team, you will play an active role in the search for neutrinoless double-beta decay of Ge-76 with the LEGEND-200 experiment, currently operating at LNGS, help lead the R&D, design, and
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background in inorganic or materials chemistry or materials physics. Experience with extraction and separation of materials. Experience in critical mineral extraction and characterization methods. A strong
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databases to assess ecosystem response to environmental forcing. The primary research focus is AI-forward, experiment-driven. This position encourages leveraging AI/ML methods to assess plant physiological
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. Conduct in situ neutron or X-ray diffraction experiments to study micromechanical behavior under loading conditions (e.g., tension, compression, creep). Design and execute mechanical testing experiments
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transformation response Demonstrated expertise in process development/optimization for digital twin, surrogate and reduced-order models and ML/AI tools applied to macro-scale deformation in AM Experience with
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Engineering completed within the last 5 years. Laboratory and experimental experience Preferred Qualifications: Experience in the design, development, and operation of experimental thermal-fluid systems
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related to magnetic materials, experience with first-principles electronic structure methods and proven expertise in developing and/or applying advanced AI/ML methods for accelerated materials discovery
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mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal