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Field
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datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is
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observations, remote sensing, historical data analyses and numerical modelling. Many activities have already started, paving the for a ground-breaking fieldwork element that includes the first deployments of
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and Instrumentation) Dr Bing Guo (Environmental Monitoring) Dr Giovanni Iacobello (Fluid Mechanics and Data Analysis) Dr Belen Marti-Cardona (Remote Sensing) Dr Sajeeva Abeywardena (Robotics) About
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systematically synthesize and harmonize remote sensing, survey, census, and citizen science data to support analyses of issues for action in partnership with local communities and Indigenous Peoples in the Amazon
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months). The position is focused on LiDAR sensors and sensing systems. The successful candidate will work under the supervision of Dr. Ahmad Alsharoa on cutting-edge projects involving the application
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University of Norway, Faculty of Science and Technology. The position is connected to the Nansen Environmental and Remote Sensing Centre (NERSC) in Bergen. General information about the position. The position
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with Earth Observation data at UiT The Arctic University of Norway, Faculty of Science and Technology. The position is connected to the Nansen Environmental and Remote Sensing Centre (NERSC) in Bergen
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 1 month ago
feel valued, supported and empowered to reach their professional potential. Enjoy lots of employee benefits: Financial incentives: Monthly family and child allowances, generous stipend reviewed yearly
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areas such as data analysis, statistical modeling, machine learning, numerical modeling, or remote sensing Preferred Qualifications A general understanding of ecosystem modeling or ocean circulation
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following areas: plant biology and spectroscopy, evolutionary biology, bioinformatics, biochemistry, functional genetics, plant physiological ecology and remote sensing. All candidates must have received a