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Field
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network modelling, contributing to a new generation of mechanistic tree and ecosystem models. The position offers the opportunity to work at the interface of mathematics and environmental science in a
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is product recovery and material separation, which strongly influences overall system performance, cost efficiency, and environmental impact. This is a critical stage in remanufacturing where
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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contaminants. The successful candidate will contribute to a cutting‑edge research effort aimed at transforming environmental monitoring and water treatment. Key Tasks: Conducting excellent collaborative research
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3 Mar 2026 Job Information Organisation/Company Universidade de Vigo Department T06 Natural Resources and Environmental Engineering Research Field Engineering » Other Researcher Profile Recognised
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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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network modelling, contributing to a new generation of mechanistic tree and ecosystem models. The position offers the opportunity to work at the interface of mathematics and environmental science in a
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for maritime navigation, environmental risk management, and understanding climate interactions in polar regions, particularly in the Arctic. Current forecasting systems, which rely on physical models and data
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 22 hours ago
3 Mar 2026 Job Information Organisation/Company Wetsus - European centre of excellence for sustainable water technology Research Field Environmental science » Earth science Agricultural sciences
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of repository environments. • Bridge the gap between theoretical models and reality by validating simulations against real-world environmental monitoring data. • Contribute to case studies with