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researchers whose expertise is complementary. Applicants may be primarily experimental or computational. We are especially interested in candidates who can cover a strong combination of skills (not necessarily
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the Finnish-language job announcement for further information: https://ats.talentadore.com/apply/tutkijatohtori-sustainable-rural-futures-hanke/m5npoR Department of History and Ethnology The Faculty
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the Research Council of Finland. The positions will commence on 1 April 2026, or as agreed, and will continue until 31 December 2028. Project description The project combines computational chemistry
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which investigates and develops a new plural valuation assessment framework combining approaches such as natural capital accounting, cost-benefit analysis, participatory mapping, and multi-criteria
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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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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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. Understanding these processes requires the integration of detailed site‑level observations with large‑scale data synthesis. Our project combines both approaches to reveal how short‑term climatic extremes alter
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the Neuroscience Center in the University of Helsinki (see: https://www2.helsinki.fi/en/researchgroups/synaptic-plasticity-and-development ).The research interests are focused on functional maturation of neuronal
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information, please visit https://www.helsinki.fi/en/hilife-institute-of-biotechnology . University of Helsinki's Biomedicum Helsinki is an elite community of over 90 research groups on the Meilahti campus
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combinations of multiple ‘modes’ of expression. These methods and resources are used to develop empirically founded theories of multimodal communication in the domain of everyday cultural artefacts. The data