21 Statistics positions at Lawrence Berkeley National Laboratory in California in United States
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experience. Experience in enrichment of soil and sediment microbes. Working knowledge of Excel, and basic statistics. Notes: This is a full-time 1 year, term appointment with the possibility of extension
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, and techno economic analysis. Work in a multidisciplinary team environment, including backgrounds in biology, chemistry, earth sciences, statistics, physics, energy technologies, materials science, and
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diagnostics methods. Knowledge of solid-polymer electrolytes, composite membranes, mechanics, and polymer chemistry. Familiarity with data curation and visualization, statistics, and advanced data analysis
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interdisciplinary methods and tools appropriate to the topic at hand, including primary data, economic, and statistical analyses; modeling; and survey and interview-based research. The Energy/Environmental Policy
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. Experience in data acquisition and statistical analysis. Notes: This is a full time 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job
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. Position requires: 1. Mathematical statistics and data analysis fundamentals including: large scale data mining and modeling; 2. Operations research, stochastic optimization, machine learning, queuing theory
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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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with analysis codes such as Python. Experience in data acquisition and statistical analysis Notes: This is a full time 1 year, term appointment with the possibility of extension or conversion to Career
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prototype detector systems. Design, set up, and execute experiments to characterize and evaluate detector performance. Analyze experimental data using advanced statistical and data analysis techniques, and
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performance. Analyze experimental data using advanced statistical and data analysis techniques, and develop custom data analysis tools and algorithms as necessary. Prepare high-quality manuscripts