10 development "https:" "https:" "https:" "UCL" uni jobs at Lawrence Berkeley National Laboratory
-
Berkeley National Laboratory (LBNL) Scientific Networking Division has an immediate opening for a Full Stack Software Engineer to join ESnet's Measurement and Analysis team. Remote work is an option
-
, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by
-
acquisition, performance management, employee and labor relations, engagement, and talent development. Serving as the primary relationship manager for the client group, the HRSP partners closely with Lab
-
, and computer science. We are seeking candidates with specific interests in the design and development of integrated transportation models at various scales and levels of resolution, including agent
-
coupled with advanced capabilities to support future scientific workflows. NERSC is also a major partner in key DOE initiatives to develop new capabilities for scientific innovation, including Integrated
-
Developing QA documents (Work Instructions, Test Plans) Extracting images from mechanical models for documentation Contributing to project and engineering work process documentation What is Required: Full-time
-
will engage in the group's research and development (R&D) activities in high-performance computing (HPC) and contribute in setting research agendas, with a focus on sparse linear and tensor algebra
-
that directly support JGI's mission. In this exciting role, you will contribute to the development and maintenance of a robust Data Lakehouse, leading ongoing integration efforts to ensure scientific data is well
-
Funded Research and Development Center (FFRDC). The Laboratory conducts groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab's expertise
-
support JGI's mission. In this exciting role, you will contribute to the development and maintenance of a robust Data Lakehouse, leading ongoing integration efforts to ensure scientific data is well