26 phd-statistics "University of California, Santa Cruz" research jobs at Lawrence Berkeley National Laboratory
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implementation of custom stages multi-modal and in-situ/operando measurements. Ability to assemble and test fuel-cell and flow battery systems and perform diagnostics tests. What is Required: PhD in chemical
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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
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proposals. Publish developed algorithms as software packages. What is Required: Ph.D. in the last 3 years in Machine Learning, Applied Mathematics, Statistics, Computational Science, Chemical or Biochemical
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, and basic statistics. Notes: This is a full-time 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing
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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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to the active research culture at Berkeley Lab. Work in a safe and healthy manner consistent with EH&S guidelines. Respect diversity and be inclusive in their interactions with others. What is Required: PhD in
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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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. 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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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