26 data-"https:"-"https:"-"https:"-"https:"-"London-Business-School" positions at Lawrence Berkeley National Laboratory
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National Laboratory is hiring a Data Science Workflows Architect within the NERSC division. The National Energy Research Scientific Computing Center (NERSC) is seeking an engineer with experience in complex
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technical product ownership, ensuring that bioprocess data, workflows, and knowledge systems are structured for scalability, reproducibility, and future AI-driven innovation. Leading complex programs, you
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need experience in a receiving environment, knowledge of DOT regulations, strong communication skills, and must possess computer skills necessary to create, sort, and manage e-mail and to utilize
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. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and develop software for high-energy particle
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exploration of nonlinear optical and superconducting materials heterostructures. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Inorganic Nanostructures, Data
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communication skills including experience conducting independent, data-driven research and collaborating with an interdisciplinary research team. Additional Information: * Application Date: Priority consideration
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accurate written reports to applicable standards and ensure that this information is entered into the industrial hygiene database as applicable. Attend regularly scheduled Team, Department and Division
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Raman spectroscopy. Perform complex data analysis and interpret experimental results. Prepare manuscripts and reports. Publish research findings in high-impact peer reviewed technical journals and
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. Additional Responsibilities as needed: Safe handling of solvents, nanofillers, high-voltage testing, and instrument SOPs; participation in EHS trainings and near-miss reporting culture. Reproducibility & data
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(LBNL ) Joint Genome Institute (JGI ) has an opening for a Senior Business Systems Analyst to play a critical role in transforming raw scientific outputs into high-value, AI-ready data assets