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the ionization process and the resulting correlations. Confront the measurements with the ab initio and analytical strong-field theory developed by the UCL partner group, closing the loop between experiment and
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, and development of algorithms for real-world clinical data. The fellow will have the opportunity to work with clinicians, engineers, data scientists, trainees, and research staff in a highly
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· database extraction · data cleaning · analysis · algorithm development and implementation · data visualization [CI1] The postdoctoral
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the team with compiling and analyzing geospatial datasets, developing and testing deep learning algorithms for complex image classification, optimizing data collection strategies for unmanned aerial vehicle
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, and range from applying methods developed in the lab to existing patient cohorts, to developing entirely new assays and analytical approaches. We study a wide variety of cancer types, with major focuses
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encouraged to apply. Our laboratory develops and applies NMR methods - particularly solid-state NMR - to reveal molecular composition, structure, interactions, and chemical modifications in complex biological
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are committed to investigating the mechanisms of brain aging and developing innovative interventions to promote successful cognitive aging. All fellows will be offered an NIH-level competitive monthly stipend
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experienced mentor committed to supporting the scholar’s development toward a career as an independent investigator. Our group collaborates extensively with researchers across disciplines and institutions
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experience may include flames, plasmas, high-temperature CVD furnaces, aerosol reactors, or related gas-phase synthesis platforms. The position combines reactor development, chemical kinetics, reacting-flow
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work is robustly extending genomic discoveries into under-represented populations, as well as improving portability of genetic risk prediction algorithms into the same populations in anticipation