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algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
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-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning and artificial intelligence methods, targeted validation
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campaigns or model SOA formation and deposition processes. The main duty of the Postdoctoral Researcher is to conduct research related to the project and to report results in international scientific
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sustainable solutions. Our water research includes a strong focus on water engineering, hydrological modelling, hydrological process, groundwater, water quality, water supply and protection. It also includes
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vision models and other computational methods to annotate the data, and verifying the quality of these annotations using human-in-the-loop approaches. In addition to conducting research, the post-doctoral
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Centre of Excellence in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and
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emerging model for colour polymorphism, defence, and host–parasite interactions. Our group maintains >17 years of field data, >60,000 pedigree individuals, and well-established laboratory populations from
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changes and challenges. Bioeconomic models are used to study cost-effective adaptation measures under climate change and market-related risks with a particular focus on irrigation, climate-related external