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Lawrence Berkeley National Lab’s (LBNL ) Scientific Data Division has an opening for a Theoretical Neuroscience Postdoctoral Fellow to join the team. In this exciting role, you will perform
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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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astrophysics and cosmology research program. The Fellows will also find a rich data-science environment at UC Berkeley and LBNL, with world-expert researchers in both computer science/statistics and domain
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(for more information click here ). 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
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sites associated with the Center. This position will develop study plans, data collection frameworks, and deployment strategies for various technologies used by the Center which may include, but not be
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. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan, implement and evaluate patient care, taking into consideration protective interventions
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real-time data analysis and interpretation code. Build a connection between experimental data, analytical solution and Monte Carlo X-ray scattering simulations. In collaboration with ALS Photon Science
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top-tier research team unlocking solutions to the scarcity of essential materials for next-generation energy and information technologies. You will use state-of-the-art computational tools based
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information can be used to design functional materials. The current focus is on microbial adhesion and self-assembly, with applications in critical minerals and materials (CMM) recovery, a high-impact area as
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, infrared and Raman spectroscopy. Perform complex data analysis and interpret experimental results. Prepare manuscripts and reports. Publish research findings in high-impact peer reviewed technical journals