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combined with an interdisciplinary toolbox drawing from ecology, forestry, and climatology. These data will then feed into cutting-edge joint species distribution models to project European forest plant
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internationally. Job profile You hold a Master’s degree in computer science, electrical engineering, (technical) cognitive science, Human-Computer Interaction or areas relevant to the research topic (for example
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: Supervising BSc and MSc students and assist in their field measurement, and data analyses. Submission of high quality publications in international scientific journals. Link to and integrate with research run
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: Supervising BSc and MSc students and assist in their field measurement, and data analyses. Submission of high quality publications in international scientific journals. Link to and integrate with research run
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forest structure are all closely linked: changes in climate can lead directly to physical changes in forest structure and vice versa or to an anticipated increase in forest disturbances. However, it is
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entrepreneurs to identify areas of need and opportunities to scale up and grow. Recommendations will include example data stories for business planning. To achieve this, the fellow will: Further develop and test
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biodiversity data in tree diversity observatories and experiments across Europe. The goal is to provide empirical understanding of the co-benefits of tree species and mixtures on climate change adaptation and
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data science. The findings will provide a knowledge base for social innovation in active ageing, including models of effective services in terms of their health impact, understand how large reach can be
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, bioproduction and resource recovery. CMET is well recognized worldwide in its field, and links excellent basic science with application, leading to a high level of peer reviewed publications, besides commercial