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· Perform computational analyses to investigate gut microbiota composition The selected candidate will use a combination of animal and in vitro studies to reach these aims. Work tasks also include designing
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expertise from applied mathematics, ecology, environmental science, history, climate science, and infectious disease epidemiology. By combining historical datasets, environmental reconstructions, and
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combining genetic, physiological, and behavioral approaches, the study will dissect how hypoxic cues are detected and translated into changes in feeding behavior, providing mechanistic insight into how oxygen
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innovation in conifers (Norway spruce and Scots pine), contrasting outcomes with an angiosperm (aspen). The project combines genomic, epigenomic and 3D chromatin profiling (ATAC-Seq, easySHARE-Seq, ChIP-Seq