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Field
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principles, techniques and systems. Computer Science Department Founded in 1965, the Stanford Computer Science (CS) Department continues to lead the world in computer science research and education influencing
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Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience (academic or professional) programming in algorithm level languages such as Matlab/Simulink, Python, C# or similar 3
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Requisition Id 15434 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory (ORNL) is seeking qualified applicants for a Postdoctoral Research
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE3 [#27208] Position Title: Position Type: Postdoctoral Position Location: Oak Ridge
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 2 months ago
tasks in support of the research program, frequently interacting with the laboratory’s scientific community. To be successful in this position, you will bring: A Ph.D. in physics or a related discipline
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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
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electronic lab notebook (ELN) records. Manage multiple projects and tasks in parallel in order to meet program-based milestones. Train one or more postdoctoral researchers and/or one or more technicians
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-doctoral candidate. • Experience with machine learning techniques and their integration into agent-based models. • Familiarity with parallel computing and cloud-based simulation environments. • Knowledge
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conferences to disseminate research findings, and mentoring junior team members in preparation for their presentations. In parallel, the principal investigator (PI) will provide mentorship aimed at supporting
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experience parallelizing serial computational applications. Strong background in data analytics. Proficiency with one or more of Python (NumPy/SciPy/Pandas), R, MATLAB, etc. Familiarity with containers such as