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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 2 months ago
Preparation of remotely sensed observations, e.g., from GRACE and Swarm satellites Assimilation of gravimetry and electromagnetic observations Analysis of modelled and state estimated geophysical systems
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the 3D Discrete Anisotropic Radiative Transfer (DART) model to disentangle the functional (photosynthetic) and structural (architectural) contributions to forest canopy SIF derived from remote sensing
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 16 days ago
Your qualifications: MSc (or equivalent) and PhD in Earth Science, with a focus on volcanotectonics and remote sensing Proven interest in volcanology Experience on using drones for change detection and
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science for policy impact Experience in bioinformatics analysing metagenomes (taxa and functional genes) is an advantage Experience in extracting environemntal data from remote sensing products is an
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to remote sensing and simulation modeling. A quantitative understanding of ecosystem dynamics provides the foundation for the development of robust management concepts for the sustainable provisioning
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leading scientific machine learning company, starting with the control of quantum technology devices. We work remotely, and meet physically once a month for planning, brainstorming and shared meals. Why we
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Your Job: You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 16 days ago
volcanoes, and is faulting influenced by alteration due to weakening and permeability changes? You will work with drone and remote sensing techniques at selected calderas and ring faults. You will map
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the aim of taking the complex spatial structure of clouds into account in climate models and global remote sensing. The position thus offers highly relevant and interesting opportunities for work and
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their causes and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing and simulation modeling. A