26 Statistics positions at Lawrence Berkeley National Laboratory in california in United States
-
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
-
. 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
-
. 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
-
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
-
, Biogeochemistry, Molecular Biology and an understanding of key and complex biological concepts including genes, pathways, and microbial phylogeny. Experience with UNIX utilities and filesystems, R statistical
-
concepts including genes, pathways, and microbial phylogeny. Experience with UNIX utilities and filesystems, R statistical analysis platform, and standard bioinformatics tools and databases. Excellent oral
-
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
-
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
-
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
-
interdisciplinary research team. Desired Qualifications: Experience with standard bioinformatics and statistical methods and tools (examples include sequencing databases, assemblers, and aligners, programming