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Field
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Type Staff Job Description Major/Essential Duties of Job: Evaluate the large scale influence of vegetation on groundwater recharge using remote sensing tools Run large scale evapotrationspriate models
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
The large collaborative project ‘3D-ABC’, funded for 3 years by the Helmholtz Foundation Model Initiative, will focus on the development of a Foundation Model combining large remote sensing and field datasets
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 27 days ago
language skills are not required. Knowledge of instrument design, remote sensing or electronics is a big plus. Our offer We offer excellent working conditions in a highly international and interdisciplinary
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data. Experience working with remote sensing data. Two years of experience using advanced statistics. Excellence in the field as demonstrated by relevant publications, or a fellowship in quantitative
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data. Experience working with remote sensing data. Two years of experience using advanced statistics. Excellence in the field as demonstrated by relevant publications, or a fellowship in quantitative
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safety in order to inform management decisions. The selected candidate will coordinate experimental, field, and remotely sensed data collection and analysis and write technical reports, scientific journal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
to estuary using satellite remote sensing and data analysis. The specific research focus is flexible, offering the opportunity to develop and pursue new ideas within the broader scope of the project. Minimum
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– Corpus Christi has a sense of belonging research environment utilizing geospatial science to support data driven decision making. The institute’s research laboratories develop innovative solutions