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residential buildings. Build databases and carry out statistical analyses that are relevant to quantifying the relationships between building decarbonization strategies, GHG emissions, costs, public health, and
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out statistical analysis and prepare results for publication. Document and communicate research results through publications, such as technical reports and journal manuscripts. Review published
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and sampling of plants and soil. Proficiency in Excel, R, Matlab, or other software for handling and organizing data. Knowledge in basic statistics. Desired start date is May 1, 2024 but earlier
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in basic statistics. Desired start date is May 1, 2024 but earlier or later start dates will be considered. Apply by March 20, 2024 with the following application materials (the position will remain
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, spreadsheets, and database programs) to perform analyses. May supervise the activities of nonexempt personnel. What is Required: Bachelor’s degree (or equivalent knowledge) in engineering, physics, statistics
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and biochemistry, biology, statistics, AI, and computational science. The successful applicant will work closely with biologists and biochemists to develop biochemical data sets, and to develop AI and
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experience and familiarity with statistics and linear algebra. Experience with Jupyter notebooks, pandas and matplotlib. Demonstrated interest and/or experience with science and/or STEM education. Experience
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) and data science. Some experience with statistics and linear algebra. Some experience teaching students in an informal or formal setting. Experience working with youth from diverse backgrounds
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of statistical methods suitable for durability and lifetime predictions. Design and execution of operando measurements aimed at determining degradation rates and mechanisms in PEC water splitting devices
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refereed journal articles. What is Required: Bachelor’s degree (or equivalent knowledge) in environmental science, policy, economics, engineering, statistics, or related field, with extensive professional