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research. Responsibilities : Develop and apply machine learning and data-driven methods for the analysis and interpretation of synchrotron X-ray scattering data, including diffraction and total scattering
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and technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will conduct comprehensive supply chain mapping, modeling, and analysis—integrating
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relationships in next-generation electronic materials. This role involves creating AI models for real-time data analysis, enabling autonomous experiments through active learning and "curiosity-driven" exploration
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acquisition, instrument control, and data analysis in Python or similar languages Knowledge of quantum optics measurements such as photon correlation functions or photon-number-resolved detection Familiarity
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technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will assist with data collection, analysis, and scenario modeling for a DOE-sponsored assessment
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design, development of supervisory control logic, validation of vehicle models against test data etc. The projects and interests of this group span all modes of transportation including off-road, rail
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extraction and analysis of sequencing-based omics data. Experience in bioreactor configuration, inline/online sensor integration, and PID-based process control; familiarity with bioreactor automation systems
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Knowledge of atmospheric dynamics, process scale models, and numerical computation techniques Knowledge of data analysis Knowledge of using atmospheric observational datasets, data assimilation techniques
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-cell preparation and testing. Knowledge in electrochemical analysis techniques such as GC, CV, GITT and EIS. Ability to communicate effectively and on a timely basis with the supervisory personnel on all
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of colloidal systems; optical microscopy techniques Optical microscopy Image and data processing Basic programing for experiments Image and data processing/analysis Please upload the following as attachments