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Field
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The overall aim of this PhD project is to understand the influence of climate-driven changes in vegetation cover and winter conditions on habitats and food webs of Arctic/alpine lakes. Climate change is
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the influence of climate-driven changes in vegetation cover and winter conditions on habitats and food webs of Arctic/alpine lakes. Climate change is promoting the expansion of terrestrial vegetation, which
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universities develop peace education and constructive conflict resolution (CCR) skills across teaching, student life, and institutional structures. The project explores how higher education institutions foster
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seminars, science lunches, training opportunities and journal clubs to stimulate scientific development. You will also become a member of the graduate school Experimental plant sciences (https
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for 1.0 fte (38 h/week). You will have ample opportunities for further development of knowledge and technical and personal skills through courses at the Academy and (inter)national conferences. Where
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have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, comprising PGR-led activities
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to the development of state-of-the-art nuclear-reaction models and evaluated nuclear-data libraries, supporting safe, reliable, and competitive technologies for both existing and future nuclear-energy systems, as
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Ecology (NIOO-KNAW) and the department of Terrestrial Ecology can be found at the website: http://www.nioo.knaw.nl . More information about the Copernicus Institute of Sustainable Development can be found
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
., Revenko, A., Teije, A. T., & Harmelen, F. V. (2023). Combining Machine Learning and Semantic Web: A Systematic Mapping Study. https://doi.org/10.1145/3586163 [2] Benoît Combemale, Pascale Vicat-Blanc
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for analyzing how landscapes evolve over time. This thesis is part of the ANR GEvoK (Geographic Entities Evolution in Knowledge Graphs) project, which aims at automatically detecting and semantically