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Obrador, Dr. Camille Minaudo Disciplines: Limnology, Biogeochemistry, Geosciences, Remote sensing Useful Links: - CANBAS research group: https://canbas.weebly.com - BEECA Department at UB: https
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data-driven methodologies is desirable. Familiarity with programming languages such as Python or R, and an interest in geospatial analysis tools and remote sensing data, will be advantageous. While
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loss data. Computing skills including experience in advanced statistic programming languages (R and/or Python), remote sensing and GIS software (Google Earth Engine, ArcGIS and/or QGIS). Demonstrated
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cycling, and water use efficiency. -Develop decision support tools and yield forecasting platforms using crop models, remote sensing data, and advanced data analytics. -Collaborate with farmers and
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strong skills in Python and possibly linux environment (user level). Parallel computing and low level programming languages (e.g., fortran 90) are advised. - Demonstrated interest in remote sensing, signal