26 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "U.S" positions at Lawrence Berkeley National Laboratory
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, and critical alarm notifications essential to scientific programs. As part of LBNL's Facilities Engineering Team, the Control Systems Engineer (CSE) will design, manage, and maintain these systems
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, transform, and load genomic data and associated metadata into the Data Lakehouse. * Plan and perform unit, integration, and acceptance testing. * Create system specifications aligned with business
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expertise in agent-based approaches and decision-making algorithms, such as safe and robust control methods, evidenced by publications in top-tier conferences or journals. Strong hands-on programming skills
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career - check out our Tuition Assistance Program A culture where you'll belong - we are invested in our teams! In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every
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Python programming for scientific instrumentation. Ability and willingness to learn new scientific and technical concepts. Scientific instrumentation and Software development experience, preferably in a
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electronics and HPC is to make more efficient use of transistors through architecture specialization, application-specific acceleration, and compilers/programming-models that better control data movement than
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, to analyze performance, improve portability and reliability, and bring new workflow capabilities to thousands of users across DOE Office of Science programs. What You Will Do: Contribute to one or more NESAP
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engage in AI/ML-based inverse modeling for the analysis of well test and fluid-flow experimental data, the development and deployment of AI/ML models into software tools and programs, and performance
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team as part of NERSC's Exascale Science Acceleration Program (NESAP ). You'll work with NERSC staff, domain scientists, and engineers from industry partners to prepare key scientific workflows
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Science Acceleration Program (NESAP ). You will join a multidisciplinary team building AI-driven scientific workflows for the upcoming Doudna supercomputer. Doudna will deliver over 10x the performance