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background in scientific data visualization, uncertainty quantification, AI/ML, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral
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effects testing, or extreme environment effects testing. Ability to draft high quality technical documents and give technical talks to the scientific community. Proficiency in Python, C++, or other similar
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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly
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models using software such as GAMS and Python. Econometric modeling skills using statistical software (e.g., Limdep, Stata, EViews or R). Strong programming skills with R and Python. Excellent oral and
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in materials characterization techniques such as Raman and scanning electron microscopy. Data analysis skills using Python, MATLAB, or similar platforms. Excellent written and oral communication skills
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developed methodology Quantifying monetizable non-energy benefits of residential building weatherization Create analysis tools in MS excel, python or similar language, as needed, to demonstrate and apply
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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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programming languages such as C++, Fortran, Python, etc. Author or co-author of open literature publications Applicants cannot have received their Ph.D. more than five years prior to the date of application and
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years. Preferred Qualifications: Experience with modern programming languages, particularly Python. Demonstrated ability to communicate research results through reports, publications and presentations
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years. Preferred Qualifications: Experience with modern programming languages, particularly Python. Demonstrated ability to communicate research results through reports, publications and presentations