19 linked-data-"https:" "https:" "https:" uni jobs 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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computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. and have completed no more than three years of postdoctoral work are encouraged to apply. Only one
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IDEA Information Links: Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.
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limited data. The successful candidate should have a technical/quantitative background (engineering or economics) and strong experience conducting engineering assessments and/or economic analysis. Some
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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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or incomplete information. Request new vendor information for entry into the procurement system. Assist customers with obtaining quotes for large purchases and with Return Merchandise Authorizations for returns
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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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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