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generative design tools such as HEEDS, and/or the Dakota or RAVEN uncertainty quantification tools. Experience with FORTRAN, C, and/or C++ applied programming. Knowledge of Python, Java, or other scripting
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). Experience with predictive modeling of material performance in extreme environments. Experience with coding (e.g., C++, Python, Fortran). Excellent written and oral communication skills. Motivated self-starter
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completed within the last 5 years. Expertise in power systems and power electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred
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following languages: C/C++, Python, Fortran Excellent interpersonal skills, written and oral communication skills, and strong personal motivation The ability to work in a dynamic, interdisciplinary team The
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tasks within deadlines, and adapt to ever changing needs. Strong, proven publication record. Self-motivated. Preferred Qualifications: Experience programming in Matlab, LabVIEW, Python, C++ or similar
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. Demonstrated experience working with machine learning and data analytics using tools in programming languages such as Python, PyTorch, Pandas, Scikit Learn, etc., in applied problem-solving contexts
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-based materials, polymers, or composites. Knowledge of additional characterization techniques, such as FTIR, Raman spectroscopy, or thermogravimetric analysis, is a plus. Experience with Python
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skills (e.g., Python, R) and familiarity with semantic web technologies (e.g., RDF, OWL). A good collaborator and listener, with a questioning mindset. Excellent attention to detail. Ability to think
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research analyses on on-site clean energy technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills
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experience in leading or contributing to the development of journal articles. Strong technical knowledge and experience in building HVAC design and operation. Proficient in developing software with Python