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. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models for long-term forecasting. Collaborate closely with
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uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models
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career scientist with background in organic geochemistry, statistics, and Bayesian modeling to pursue analyses of paleoclimate biomarker data. The ideal candidate should be proficient with both laboratory
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distribution of mid-ocean ridge earthquakes, quantify the associated energy release, identify clusters and mechanisms of interests and perform relative relocations on targeted event swarms. The seismogenic
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with a hybrid-electric propulsion system, targeted for entry into service by 2035. Given the rapid evolution of various battery technologies, it is currently uncertain which specific technology will be
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Batteries, a project that aims to develop an airworthy battery system for an ultra-efficient regional aircraft with a hybrid-electric propulsion system, targeted for entry into service by 2035. Given
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therapeutic targets. These efforts will generate large-scale, rich perturbation datasets, requiring the development of sophisticated approaches and methods incorporating facets such as machine learning and
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the voluntary adoption of effective bycatch reduction strategies in targeted fisheries. There will also be opportunities to contribute to writing research proposals and mentoring graduate students. Required