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knowledge, such as bonding, defects, catalysis, batteries, solid-state chemistry, molecular systems, or related materials classes. Strong Python skills and familiarity with LLM APIs, agent frameworks
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using Python and related tools. Prepare manuscripts for publication in peer-reviewed journals and present research findings in conference presentations, technical reports, and other scientific forums
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solver, capable of running simulations on the Aurora supercomputer, using AMReX ( https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry
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finite element method. Coding experience in C++ and/or python is required, along with the responsible use of AI-assisted coding tools. Strong skills in oral and written communications and presentations
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Python programming language. Working knowledge of UNIX or Linux. Preferred Knowledge, Skills, and Experience Experience with machine learning and accelerator operation. Experience working with
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the Python programming language and contributions to open-source scientific software Scientific productivity, as demonstrated by publications and conference presentations Effective oral and written
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Demonstrated expertise in developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python
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. Programming expertise in Python or other scientific programming languages is a plus. Excellent oral and written communication skills. Experience with automation, control, and instrument infrastructure. Ability
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. Demonstrated experience in quantum sensing, quantum information science, superconducting circuit, or magnonics. Proficiency in scientific software development (e.g., Python, COMSOL, HFSS or similar
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design codes such as the ASME Boiler & Pressure Vessel Code, API standards, R5, RCC-MRx, or similar documents. Coding experience in Python. Skilled in oral and written communications, with the ability