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from the University of Helsinki (UH) and two from the Natural Resources Institute Finland (Luke), who together with a large network of international collaborators form a multidisciplinary team of experts
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of Excellence in Tree Biology that brings together ten PIs from the University of Helsinki (UH) and two from the Natural Resources Institute Finland (Luke), who together with a large network of international
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or resource use efficiency). Develop methods to understand the mechanisms of both within-season dynamics and phenological events, that characterize species populations using potentially noisy and partial data
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: “Sustainable food and water systems”. The research aims at increasing our understanding on the interactions between food system (including farming, production, consumption), water resources and the ecological
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in text categorization, with a focus on language identification in texts. Well-defined and reliable open-set language identification methods will impact research fields that depend on resources created
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with good resources, possibility to collaboration both nationally and internationally and advance your research career. Additionally, you will have the opportunity to co-mentor doctoral and master’s
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research fields that depend on resources created using language identification, such as text corpora for rare languages. Language identification methods ground their predictions on training corpora for a
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. These include Human Resources Services, Teaching and Learning Services, Financial Services, Research Services, Communications and Community Relations Services, and General Administration Services. In total, about
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University Services to support research, teaching, and studying. These include Human Resources Services, Teaching and Learning Services, Financial Services, Research Services, Communications and Community
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to climate change and/or human use of natural resources. The successful candidate will contribute to developing the specific research questions on understanding the relationship between different dimensions