11 parallel-and-distributed-computing-phd uni jobs at Lawrence Berkeley National Laboratory
Sort by
Refine Your Search
-
approach for distributed quantum computing with neutral atoms. This research aims to integrate atomic ensemble qubits into optical tweezer arrays of single atoms, enabling quantum networking between state
-
to accelerate discovery through advanced computing, artificial intelligence, and data-driven science, supported by state-of-the-art cyberinfrastructure (CI) systems, tools, specialized software, and applications
-
Research Scientific Computing Center (NERSC) is seeking a versatile Software / API Engineer to join our team building software systems that integrate scientific workflows and supercomputing systems
-
workflows in distributed environments Qualifications: Requires a Ph.D. in computer science, mathematics, computational science, or related discipline. Candidates must have no more than 3 years of Postdoctoral
-
advancements in automation, safety engineering, and industry trends. What is Required: Bachelor's degree in Electrical Engineering, Computer Science, Automation, Electronics, or a related field, or an equivalent
-
beamlines, including legacy instrumentation upgrades and cutting-edge system development. Responsibilities include cable and rack layout, power distribution, instrumentation integration, test planning, and
-
(LBNL ) Joint Genome Institute (JGI ) has an opening for an Advanced Analysis Manager to lead a team of Data Scientists and Engineers within their Data Science and Informatics Department! In this exciting
-
Required, at Level 3: Bachelor's degree in Physical Sciences, Computer Science or related field or equivalent is required. Masters and PhD degrees in similar disciplines are preferred. Typically requires a
-
Referral Program benefit(s). Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values
-
at Level 3 or Level 4. What You Will Do: Work with beamline, computing, and controls staff to develop solutions for the integration of state-of-the-art x-ray detectors. This includes building new software