10 Earth-Sciences research jobs at Lawrence Berkeley National Laboratory in United States
-
multidisciplinary research team. Author peer-reviewed journal articles and present work at conferences and meetings. What is Required: Scientific background in Earth system science with knowledge of terrestrial
-
. What is Required: Scientific background in Earth system science with knowledge of terrestrial ecosystem ecology and soil science. Strong numerical modeling skills. Ability to design model experiments
-
which facilitate adoption of critical decarbonization technologies. The Energy/Environmental Technology Researcher (EETR.1) will apply methods of conducting energy, market, and/or engineering research
-
Required: Recent Ph.D. in soil science, biogeochemistry, ecology, earth sciences, or related field. Fieldwork experience in soil biogeochemistry, including soil sampling. Expertise in (bio)geochemistry and
-
to measurement and analysis of microbial carbon use efficiency and microbial community response. What is Required: Recent Ph.D. in soil science, biogeochemistry, ecology, earth sciences, or related field
-
networking experiments between Lawrence Berkeley National Lab and University of California, Berkeley. This effort will require incorporating high-finesse optical-cavity systems into a novel trap technology to
-
presenting the results to non-academic audiences in the context of real-world policy implications, in addition to more traditional academic audiences. This topic is a growth area for the organization and
-
The Nuclear Science Division (NSD) at Lawrence Berkeley National Laboratory has an opening for a Postdoctoral Researcher, with focus on the application of machine learning techniques to address
-
scientists that will design and deliver novel algorithms, error mitigation and compiling techniques for DOE relevant science domains that will break new ground in modeling dynamical processes physical sciences
-
, civil engineers, earth scientist, stakeholders to test and demonstrate the functionality of the developed ML systems. Publish in high quality, peer reviewed journals. Participate in writing grant