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Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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, the integration of quantum computing into power systems, and other emerging energy technologies aimed at decarbonizing modern energy and transportation sectors. We design solutions for a wide range of applications
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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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Take the next step in your research career at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical
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& ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and
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biology to integrate multi-omics and functional information across plants and identify genes associated with stress resilience. The position is part of the Novo Nordisk Foundation Emerging Investigator
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order to support their integration into the workplace and Danish society. Danish language courses will be offered as part of the employment. Do you have any questions? If you have any questions about the
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. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the GHG budgets
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such mechanisms contribute to improved damage tolerance at the structural level. You have experience with integrating advanced damage models into numerical simulation frameworks, and you are able to develop