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, Denmark, invites applications for a two-year postdoctoral position in plant regulatory genomics and artificial intelligence, starting 1 April 2027. You will design new sequence-to-expression deep learning
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response to multiple, interacting global change drivers. The project will combine cutting-edge analyses of large biodiversity datasets with the integration of diverse geospatial and remote sensing data
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, pollinator biology and biodiversity monitoring. Key Responsibilities The post doc will: Design and coordinate large-scale field studies across multiple seasons. Collect and process environmental and insect
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multiple remote sensing techniques across scales, including Sentinel-2, Landsat or Sentinel-1. Compared to many land surface phenology studies at broad spatial scales (e.g. kilometers), the aim of
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. Ability to work across multiple stages of genomic analysis, from raw sequencing data and genome assembly through variant processing, population-genetic analyses, statistical modelling and biological