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programming language (Bash, Perl, Python, etc.). Notes: For full consideration, please apply with a resume by April 30, 2024. This is a full-time career appointment, non-exempt (hourly paid) from overtime pay
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the ability to translate complex science into lay language. Ability to work independently, creatively formulate and execute goals, and solve problems effectively. Experience in effectively supervising
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and interviews. Familiar with the economics of emerging energy technologies and manufacturing processes. Fluency in English and one more language (i.e., Mandarin or another language widely spoken in
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language such as Python, C, C++, Perl, or bash/powershell scripts. Working knowledge of at least one additional programming language. Basic understanding of software development, testing, and deployment
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programming language and Microsoft Excel to advance the engineering, economic and environmental analyses of potential national energy efficiency standards for appliances. Contribute to the development
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and is very self-motivated. Project One Title: Improving Network Observability Term: Summer 2024 Required skills: Computer Networking familiarity, Python or comparable programming language, Data
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at least one programming language (C/C++, Python, R). Familiarity with geospatial information systems (GIS). Familiarity with statistical analysis and machine learning methods. Strong verbal and written
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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-the-house core-level spectroscopy, i.e. X
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quality. Proficiency with MS Office and strong skills in at least one programming language (C/C++, Python, R). Familiarity with geospatial information systems (GIS). Familiarity with statistical analysis
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experience. Demonstrated interest and ability to learn and understand contract language and intellectual property processes. Strong attention to detail and accuracy. Proven success in managing competing