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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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trail stages throughout European coastal waters; however, scientific research is lacking with respect to assessing the biological and ecological impacts of these mCDR approaches. This EU-funded project is
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experience working in facilitating deliberative and participatory processes in social- ecological systems; Affinity with the water management sector; Demonstrable skills in qualitative research and scientific
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22 Aug 2026 Job Information Organisation/Company Utrecht University Research Field Environmental science » Earth science Environmental science » Ecology Researcher Profile Recognised Researcher (R2
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the Mediterranean — from the Aegean Islands and Central Greece to Sardinia, Catania-Ferla, PACA, Aragón, Alentejo, İzmir, and Nicosia — to scale up nature-based solutions for climate resilience, combining ecological
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solutions for climate resilience, combining ecological, digital, and socio-economic approaches. Within this consortium, Utrecht University leads the work on the governance and social innovation dimensions