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packages, including but not limited to Core Level, Infrared, and Raman Spectroscopy. Language can be anything of the candidate's preference, such as Python, Fortran etc. Leverage observations from in
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, computer science, engineering, or a closely related field (or equivalent experience). Demonstrated experience in software development using languages such as C++, Python, or similar. Experience with version control
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in materials or low temperature physics. Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches for data analysis
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complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control
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community. This includes installing, maintaining and documenting a productive and performant set of tools (e.g. Jupyter, Podman, Julia or Python), engaging with the developer and user community, helping
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Materials Science, Chemistry, or a related field. Demonstrable strong Python programming (programming portfolio required). Programmatic LLM usage, ideally within agentic frameworks (prior usage of frameworks
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data engineering languages, including Python (Pandas, Polars, etc) and advanced SQL for data manipulation and performance optimization. * Strong analytical skills including the ability to identify
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Demonstrated software development experience on Linux / Unix platforms involving: code contributions in Python and/or JavaScript design of systems, interfaces, and data models scalable distributed systems and or
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scientific judgment and initiative Experience handling large datasets and ensuring data quality Proficiency with MS Office and strong skills in at least one programming language (C/C++, Python, R) Familiarity