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Field
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description in charge of the research line: «Machine learning for remote sensing image processing (ML4RSIP)». Junior
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sample sizes are small. Remote sensing technologies (LiDAR, satellite imagery) can detect and map disturbed areas with high precision, but they do not directly measure essential forest attributes such as
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 20 days ago
, reusable workflow development, documentation, and user training Your profile Master or PhD in informatics, bioinformatics, engineering, or related fields with corresponding work experience Strong programming
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procurement; background in or demonstrated interest in remote sensing, coastal science, or environmental monitoring applications; experience mentoring students in a technical research environment, and
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and rideshare launch procurement; background in or demonstrated interest in remote sensing, coastal science, or environmental monitoring applications; experience mentoring students in a technical
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energy for tropical forests. Analyze complex datasets with the NGEE-Tropics data team, including eddy covariance, forest census, plant ecophysiology, remote sensing, land use/land cover change Investigate
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skills and experience: a PhD (or be close to completion) in Remote Sensing, Computer Vision, Forestry, Geomatics, Machine Learning, Spatial Statistics, or a closely related discipline demonstrated research
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Jul 2026 - 23:59 (Europe/Andorra) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful