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of the circulation of infectious agents in populations of marine vertebrates in the Southern Territories. The main models considered are seabirds (albatrosses, penguins, petrels, wrasses) and marine mammals (elephant
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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exhibit hallmarks of active matter. This PhD project aims to develop theoretical and computational active-matter models of early mouse embryogenesis that couple collective cell mechanics with gene
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of observed meteorological elements at all spatial scales. ICV also constitutes an important source of uncertainty in climate model outputs, especially regarding the occurrence of climatic extremes. Furthermore
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on a synchrotron with submicrometric spatial resolution. Spectroscopic data on As, Bi and W will be collected in order to determine their local coordination environment and oxidation state. In order to
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of multi-scale urban energy infrastructures. The PhD will explore how these models can represent spatial and temporal dependencies in systems, such as building energy demand, district heating and cooling
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combining machine learning and biophysical modelling to model embryo development from spatial transcriptomics data. Activities : - design of a new mathematical method - monitoring and study of publications
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Description Bioinformatics and computational biology integrate computer science, mathematics, and biology, focusing on processing, analyzing, and modeling biological data and processes at the molecular and
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Data Science department can be found at https://scds.uoregon.edu/ds. Particular strengths of collaborative research at UO include astronomy, biomedical data science, climate science and modeling, cell
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tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices, with emphasis on micro- and nano-fabrication and optical technologies for sensing