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Field
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uncertainty about those conclusions (uncertainty quantification). Bayesian inference and experimental design methods are increasingly used in scientific practice, and offer appealing theoretical guarantees when
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Bayesian frameworks; real-time inference of transmission dynamics and variant fitness; and the development of semi-mechanistic models for arbovirus lineage surveillance across South and South-East Asia
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. Our department is internationally recognized for its research in statistical methodology and theory, machine learning, applied statistics, Bayesian inference, and biostatistics, and its faculty
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computation, GPU and differentiable programming, or AI-assisted scientific software development. The postholder will also develop GPU-accelerated Bayesian inference methods, including nested sampling, publish
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for Bayesian inference, inverse problems, uncertainty quantification, and scientific machine learning, with applications in environmental, scientific, and industrial imaging. The role/Te mahi We invite
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to integrate heterogeneous molecular data, but are often less explicit about biological directionality and causal inference. This project instead builds on the structure of the central dogma, using genetic
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to develop the statistical inference side of the project, including likelihood-free and Bayesian approaches for fitting stochastic simulators to high-dimensional single-cell data. The successful applicant will
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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methods of Bayesian inference as relevant to the assigned atmospheric modeling. Expertise with computational implementations of atmospheric radiative transfer, on Linux-based workstations and large High
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geoscientific process models, as demonstrated by presentations, publications and/or repositories Expertise in applying Bayesian statistical methods, machine learning methods, or related statistical inference