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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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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
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mathematical, economic and statistical concepts; and 8. Numerical computation, statistical and visualization tools (Pandas, NumPy, SciPy, or Matplotlib) in Python. This position is eligible for LBNL’s
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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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the use of optimization tools, computing statistical analysis, and visualization software (e.g. python, R). Demonstrated ability to write high-quality technical publications. Excellent oral and written
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organization What is Required: Experience in enrichment of soil and sediment microbes. Experience in performing assays to characterize microbial metabolites. Working knowledge of Excel, and basic statistics
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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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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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of large survey datasets (e.g., Stata, R, Python). Demonstrated experience with statistical analysis and reasoning. Excellent verbal and written communication and presentation skills. Capable of working