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catalysts relevant to sustainable energy technologies. The research makes extensive use of the LUMI supercomputer, enabling large-scale simulations of complex electrochemical reactions under realistic
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of SOA from these VOCs characterizing chemistry of SOA particles, or determining SOA and VOC fluxes onto vegetation carrying out experiments in atmospheric simulation chambers participating in field
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theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive dynamics, and population genetics. This position is part of the interdisciplinary consortium
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the economic values derived from climate and land-use driven biodiversity changes, specifically among interacting species (e.g., prey-predator dynamics) and the resulting impacts on ecosystem functions
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resolution by integrating plasmonic nanopores with a high-speed Raman detection system, an automated control system, computer simulations, and advanced Raman-based bioinformatics. The RamanProSeq consortium