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to generate cutting-edge knowledge and practical solutions to safeguard mountain ecosystems and the communities that depend on them. Through four interconnected research themes—Trends, Seasonality, Extremes
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ecosystems and the communities that depend on them. Through four interconnected research themes—Trends, Seasonality, Extremes, and Resilience—CMT investigates long-term environmental changes, seasonal dynamics
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these landscapes. CMT aims to generate cutting-edge knowledge and practical solutions to safeguard mountain ecosystems and the communities that depend on them. Through four interconnected research themes—Trends
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practical solutions to safeguard mountain ecosystems and the communities that depend on them. Through four interconnected research themes—Trends, Seasonality, Extremes, and Resilience—CMT investigates long
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to generate cutting-edge knowledge and practical solutions to safeguard mountain ecosystems and the communities that depend on them. Through four interconnected research themes—Trends, Seasonality, Extremes
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aims to generate cutting-edge knowledge and practical solutions to safeguard mountain ecosystems and the communities that depend on them. Through four interconnected research themes—Trends, Seasonality
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these landscapes. CMT aims to generate cutting-edge knowledge and practical solutions to safeguard mountain ecosystems and the communities that depend on them. Through four interconnected research themes—Trends
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or research, good Norwegian language skills, ontologies/fuzzy systems, other relevant research projects. Applicants who fulfil the requirements for the position will be ranked according to their strength within
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these landscapes. CMT aims to generate cutting-edge knowledge and practical solutions to safeguard mountain ecosystems and the communities that depend on them. Through four interconnected research themes—Trends
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to generate cutting-edge knowledge and practical solutions to safeguard mountain ecosystems and the communities that depend on them. Through four interconnected research themes—Trends, Seasonality, Extremes