14 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Lawrence Livermore National Laboratory
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Center may be found at: https://heds-center.llnl.gov Applicants will need to submit their CV, research proposal, three references for letters of recommendation, application summary, and transcripts
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sciences. You will work with a group of geoscientists, radiochemists, and other scientists on method development, procedure optimization, sample analysis, and data interpretation aimed at understanding
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position, you will play a major role in carrying out experiments to test fundamental symmetries in nuclear beta decay and to improve the nuclear data needed for r-process nucleosynthesis. In addition
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experimental data. This position is in the Metallurgy and Advanced Microscopy group within the Materials Science Division. You will Develop and validate a multiscale simulation framework for virtual X-ray
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materials) to apply for a Postdoctoral Research Fellowship. The successful candidate will work with simulation and experimental teams to design, model, conduct, and analyze data from ring and cylinder
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Laboratory's Particle Physics Group. You will play a leading role in the analysis of data from the sPHENIX experiment at Brookhaven National Laboratory and the ATLAS experiment at CERN, while contributing to
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will entail analysis of a variety of regional Earth system data products, including observational and model products. Under the guidance of senior scientists, you will contribute to research that
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machine learning, reduced-order modeling, or data-driven modeling of physical systems. You will conduct research on the development of fast, trustworthy, and data-efficient surrogate models that
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through peer-reviewed publications. Programming experience in Python or similar environments for data analysis, visualization and/or automation. Innovative experimental skills with experience in
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presentations. Advanced knowledge with Bruker NMR, MRI, and EPR instrumentation. Ability to independently and quickly develop new methods and procedures (e.g. pulse sequences and data processing workflows