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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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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
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technologies. Synthesis will be carried out mainly using mechanochemical methods, while characterization will involve a combination of electrochemical impedance spectroscopy (EIS), solid-state nuclear magnetic
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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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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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the workplace. The Human Resources Department can also provide assistance during the recruitment process. If you would like to discuss this further, please contact us via email at contact.human.resources@esa.int
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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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Professor who wants to contribute to advance science, teaching and practice at the interface of Biodiversity, Land Use and Spatial Planning. By planning and governance of land use it is possible to halt
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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