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the group are encouraged to develop new data analysis ideas and methods. The successful candidate will also be heavily involved in our ongoing project to develop and build new, high-speed data acquisition
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helium holder designed for the TEAM I aberration-corrected transmission electron microscope. The project aims to investigate the properties of nanomaterials at very low temperatures through techniques
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processing, memory and cognitive control using techniques including fMRI, EEG, and psychophysiological recordings (EMG, EDA). Ongoing projects include studies of the prefrontal organization of cognitive
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Testbed (AQT) project and the Quantum System Accelerator (QSA) center. The role requires working with the researchers to execute quantum chip characterization and scientific quantum simulation using
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compelling formats for non-technical audiences; ● Proven record of independently leading research projects and accomplishing research goals, including flexible project management in applied research settings
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extensive experience in batteries, electrolyzers and fuel cells, electrode material synthesis, spectroscopy, detailed diagnostics, and cell design) to aid in electrochemistry research. What is Required: PhD
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fellow to join NERSC’s Workflow Readiness team to help research teams run quantum-related workflows at scale on the upcoming Doudna supercomputer. You’ll collaborate with NERSC staff and scientists, and
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. The successful candidate will contribute to this work and will have considerable freedom to pursue creative interests related to the project. Responsibilities: • Conduct research contributing to a trait-based
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areas, which will deliver over 10x the performance of Perlmutter and connect directly to DOE experimental and observational facilities. You will help 12,000+ science users run complex, data-intensive
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information science, and applied social science research. This position is well-suited for someone interested in research design and the application of geographic principles and methods to policy analysis and