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Field
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/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
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Financing yes Type of Position Full PhD Working Language German English Required Degree Master Areas of study Husbandry, Agricultural Science, Geosciences, Environmental Science, Nature Conservation
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Financing yes Type of Position Full PhD Working Language German English Required Degree Master Areas of study Husbandry, Agricultural Science, Geosciences, Environmental Science, Nature Conservation
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21 Aug 2025 Job Information Organisation/Company CNRS Department Institut des sciences analytiques et de physico-chimie pour l'environnement et les matériaux Research Field Physics Researcher
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research experience in state-of-the-art hydrogeophysical methods, hydrological modelling, soil flux analysis, and be able to work in an international team with world-leading scientists. The PhD student will
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the alignment of the applicant's existing skills and expertise with the requirements mentioned above. PhD additional conditions: Supervisor at LIST: Dr. Marco CHINI Work location: Luxembourg Institute of Science
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feedbacks and system dynamics. The meso-scale (e.g., river basins or landscapes) is where these processes intersect, yet, this scale remains underexplored in sustainability science. This PhD project will
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Background Earthworms are synonymous with our notion of beneficial soil biology playing a key role in maintaining a healthy functional soil. Earthworm populations are estimated to have declined by a
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integrated models for pollutant transport and fate that assess the impact of soil pollution on soil functions and related ecosystem services. The PhD researcher will work in the small SOILPROM team at RECETOX
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global change, damaging critical infrastructure resilience. This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – RAINDROP (Resilient eArthwork INfrastructure