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field. Preferred Qualifications: Demonstrated experience conducting quantum chemistry calculations and reaction dynamics simulations. Demonstrated experience developing Python-based software for direct
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, or human-centered ML. ●Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository. ●Excellent abilities in
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, physics, computer science, and/or data science Demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided experimental design Strong Python and scientific computing
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. Experience in multiple scientific programming languages (Python, Julia, Fortran, C++, AI etc.) Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and
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contributions. Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models. Strong programming skills in Python and experience building and maintaining research code
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analysis of biological datasets using R, Python, SAS, or related platforms Ability to integrate laboratory, greenhouse, and environmental datasets to support predictive analyses and IPM-focused decision
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in Python or MATTLAB Qualifications: PhD required A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Joining the CMU team opens
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printed circuit board prototyping Basic data analysis using MATLAB or Python Experience with microcontrollers Problem solving skills and out of the box thinking A combination of education and relevant
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circuit design experience preferred Know how to design circuit using one or more of the software listed (Cadence; Fluent use of LT-Spice, Verilog-A, Python, ADS, ICCAP, etc.) Know how to perform circuit
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/geometric data analysis, among others. Strong programming skills and experience (e.g., Python, R). Preferred Interdisciplinary research experience with experimentalists. To Apply Applicants should contact Dr