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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
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) techniques, especially to environmental data. Proficiency in remote sensing and geospatial data analysis. Expertise in computer vision and image analysis, particularly for drone or satellite imagery
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, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by
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-completed PhD (typically completed within the last 0-5 years) in chemical engineering, environmental engineering, or similar degree. Experience with data collection, processing, analysis, and presentation
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to the computational analysis of visual culture in the humanities. The postdoctoral researcher will work closely with the project PIs, Lauren Tilton and Taylor Arnold, to develop and implement educational resources
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, thematic analysis), with proficiency in NVivo or similar qualitative data analysis software. Demonstrated skills in simulation modelling and in designing and developing interactive dashboards to support
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, Southeast Asia, and the Netherlands. For more information, see here: https://cordis.europa.eu/project/id/101230109 Details: 1x Postdoc in History of Science or Digital Humanities Information on Call and
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(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
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Impedance Spectroscopy coupled with electromagnetic spectroscopy including but not limited to Raman spectroscopy, X-ray spectroscopy, IR spectroscopy and electron microscopy. Data analysis, scientific
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or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL