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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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-based and masked-autoencoder approaches and relevant architectures adapted from related biological domains; develop representations that integrate microbial identity and abundance with genomic
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downstream predictive and generative applications. Your main responsibilities are to: • design, implement and benchmark foundation-model architectures for microbiome data, including transformer-based and
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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which factors determine feasibility and performance. What will you do? Improve, document and apply a regional groundwater model for variable-density flow groundwaterflow and coupled salinity simulations
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functional responses, and monitoring shifts in POC and biogenic silica. Laboratory studies will target the response of benthic fluxes associated with changes in overlying seawater based on pilot site mCDR
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the deployment of the co-development pathways. The postdoctoral researcher will work closely with colleagues developing pathways in Work Package 3, modelling and simulation tools in Work Package 2, and case
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or have access to a wide variety of world-class laboratories, among which are UU’s Electron Microscopy Centre , the Geolab , and the Earth Simulation Lab . The latter houses the experimental facility
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system resilience and health disparities; designing scenario-based spatial models to investigate future risks and resilience of the health system and health disparities under polycrisis; evaluating and
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in Work Package 3, modelling and simulation tools in Work Package 2, and case studies in Work Package 4. This will involve aligning pathway development with suitable assessment approaches, co-designing