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chemistry, specifically x-ray photoelectron spectroscopy. Electrochemistry background, specifically time-resolved impedance. Candidates must show proficiency in developing techniques and data. An excellent
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Requisition Id 16889 Overview: The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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laboratory experiments, analyze quantitative data, and effectively communicate scientific results through publications and presentations. Major Duties/Responsibilities: Perform molecular genetics, synthetic
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characterization using advanced analytical tools, such as synchrotron, neutron, and laboratory equipment. Experience in data analytics and modeling tools. Special Requirements: Applicants cannot have received
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responses to current or imposed environmental conditions. Research may leverage: Laboratory, growth chamber and field experimental data, and/or new measurements to quantify molecular to ecosystem scale
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will design and implement differential privacy solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing
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techniques, with the ability to independently interpret data and assess compound identity and purity. Proven ability to work independently and drive research forward, including identifying problems, developing
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, thermal transport, or related experimental probes, including the effects of instrumental resolution, data reduction, and observable reconstruction. Experience with uncertainty quantification, covariance
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program: Contribute to the LEGEND-200 data analysis and the development of advanced analysis routines Contribute to the R&D on advanced instrumentation, design, and simulations of the next generation LEGEND