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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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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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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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python. Experience with machine-learning, such as training large language models. Required Application Materials: CV Cover Letter (1 page) Publication List Additional information: Application date
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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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experience in applied mathematics, computer science, or a related field Demonstrated experience in developing algebraic solvers Proficiency in more than one computer programming language, such as Python, C/C
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in one or more of: Python, C++, Fortran, Julia. Hands-on experience building and training AI models with frameworks such as TensorFlow or PyTorch. Ability to succeed in an interdisciplinary team and