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computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. Major Duties
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that incorporate latest machine-learning algorithms). Furthermore, the successful candidate will collaborate broadly with the other members of IO and CFN, leveraging their expertise in design and fabrication
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opportunities within or outside of the department (e.g., ICD Bag Lunch, workshops) Qualifications Required Qualifications PhD in psychology, human development, or a related field. Ability to collaborate
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and resume are strongly recommended. Qualifications Required Education and Experience: PhD in relevant area. Required Special Knowledge, Skills, and Abilities: Comprehensive knowledge of foundations
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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skills, expertise, and perspectives necessary to design, conduct, sustain, and disseminate public impact research. We encourage applications from individuals from a broad diversity of PhD-granting
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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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urban forest management. Develop, implement, and test signal and data processing algorithms to exploit various earth observation data in support of carbon/biomass mapping in temporal and tropical forests
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the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection
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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA