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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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Modeling. Machine Learning Interatomic Potential (MLIP) accelerated simulations. Demonstrated ability of coding in Fortran, Shell, or Python with development experiences. Deep knowledge in excited states and
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to analysis of experimental data. Of particular interest will be new approaches for tackling multimodal data, quantifying uncertainty, providing rigorous theoretical guarantees, and modelling complex physics
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Opportunities to grow in your career - check out our Tuition Assistance Program A culture where you'll belong - we are invested in our teams! In addition to accruing vacation and sick time, we also have a Winter
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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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types (inorganic solids, polymers, glasses, etc). Desired skills/knowledge: MongoDB databases. Prior development of Model Context Protocol (MCP) frameworks. For consideration, please apply with
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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