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of the molecular mechanisms underlying STM function across evolutionary distant lineages is lacking. This project aims to combine a multitude of -omics and imaging techniques as well as functional studies to work
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly
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-evolutionary responses to landscape and climate dynamics: a multi-proxy and cross-scale approach” (Award #2440645). This postdoctoral research associate would join a vibrant team of researchers who integrate
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-evolutionary responses to landscape and climate dynamics: a multi-proxy and cross-scale approach” (Award #2440645). This postdoctoral research associate would join a vibrant team of researchers who integrate
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successful applicant will work under the supervision of and in collaboration with Dan Eisenberg, Professor of Anthropology. Ideal applicants will have broad interests in the evolutionary biology of living
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solutions based on conceptual theory and empirical eco-evolutionary, molecular, and genetic data that can meet the needs of current and evolving plant production systems. For more information about the
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, artificial intelligence, network science, Bayesian methods, spatiotemporal methods, visualization, evolutionary game theory, infectious disease modeling, and assistive and accessibility technologies, with a
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affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and modeling, evolutionary genetics
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life