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intelligence, starting 1 April 2027. You will design new sequence-to-expression deep learning models that predict gene expression from DNA sequence in plants, using new experimental datasets generated in the
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and MAS solid state NMR, HR-MAS, pulse sequence development, low-field NMR, high-pressure NMR and imaging, and a strong focus on modelling of solid-state NMR experiments. The lab is equipped with state
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. Secure collaboration facilities in the DTaaS platform allows co-creation of products and services across multiple companies and authorities, thus supporting large virtual enterprises necessary for the
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, decision-makers, and the wider public? Are you an exceptional writer with a talent for storytelling, scientific editing, and creative communication across multiple platforms? Then join us in telling
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one of the most pressing scientific challenges of our time: understanding how biodiversity is changing in response to multiple, interacting global change drivers. The project will combine cutting-edge
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coordinate large-scale field studies across multiple seasons. Collect and process environmental and insect samples for DNA sequencing. Analyse microbial communities associated with freshwater habi-tats and
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integration and supporting the energy transition towards a more efficient, circular, and reliable energy system. Our work covers coordinated planning and operation across multiple energy systems
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genomic and ecological data, including multivariate analyses, demographic inference, population structure, genetic diversity and/or genotype–environment associations. Ability to work across multiple
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resilience across land-use types. To this purpose, the Postdoc will be expected to combine multiple remote sensing techniques across scales, including Sentinel-2, Landsat or Sentinel-1. Compared to many
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, environmental psychology, or another relevant field. Demonstrated experience designing, fielding and analysing quantitative survey research, ideally across multiple countries or cultural contexts. Familiarity