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research and teaching will use spatial data and modelling to explore alternative futures of land use at local, European and global scales. You will show policy makers and different stakeholder groups
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background in hydrology, earth system science, atmospheric science, agroecology or other appropriate fields. You will work on the project “Physics-informed AI-modelling of land surface processes in a global
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aim to create weakly bound RbSr molecules through the use of confinement-induced resonance. From there, we will be able to create ground-state molecules by optical adiabatic state-transfer techniques
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research and teaching will use spatial data and modelling to explore alternative futures of land use at local, European and global scales. You will show policy makers and different stakeholder groups
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on performance and organisational needs, may be extended up to a maximum total duration of 8 years. Location ESTEC, Noordwijk, Netherlands or ECSAT, Harwell, United Kingdom Description Ground Segment Product
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remote-sensing techniques for observing water surfaces, land/biosphere and ice. Knowledge of synergies between complementary Earth observation techniques is required. Knowledge of establishing and managing
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verifiable, data-driven post-mortem analyses of agricultural disasters. Your duties and responsibilities include: Conduct research on state-of-the-art Causal Machine Learning for the Earth Sciences
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now As a successful candidate, you will be part of the international research project “Follow the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD
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The climate and biodiversity crises make it urgent to rethink how we manage land and water. Current land-use systems are often eroding the ecological foundations on which long-term prosperity depends. Existing
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Description Do you have a passion for electrochemical energy storage and experience in developing polymer electrolytes and using solid-state NMR to understand them? Then this could be what you are looking