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Chris Holmes, the centre will initially focus on the following thematic areas: Decision analysis under model misspecification Uncertainty quantification around LLMs Constrained experimental design
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Chris Holmes, the centre will initially focus on the following thematic areas: • Decision analysis under model misspecification • Uncertainty quantification around LLMs
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develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection. As part of this work, the postholder will
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from Alaska-Aleutian coastal marshes and statistical and chronological models that allow reconstruction of the magnitude and timing of past relative sea-level (land level) changes at the Alaska-Aleutian
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matter (LCDM) model, and has continued to be at the forefront of cosmology research. We are particularly interested in candidates with research interests in the following areas: • ERC post: Cosmological
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background in mathematics. We particularly value experience in the following topics: vertex operator algebras, infinite dimensional Lie algebras, tensor categories, lattice models of statistical physics
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and develop skills in the growth of cultured tissue, an area of growing academic and industrial interest Opportunities to develop skills in biophysical models of tissues and deep learning techniques Key
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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models to study direct interaction between macrophages and other tissue resident cells. Additionally, you will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining
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-Royce and is fixed term for 6 months with possibility of extension. Ice accretion is a serious threat to civil aviation but also a challenging phenomenon to model. Recent progress in the field has