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for the postdoctoral position. Other relevant qualifications a) Educational background - PhD in SSD AGRI-03/B with particular reference to remote and proximal sensing of forest resources - Forestry and Environmental
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project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong
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, especially in the remote and ice-covered Arctic Ocean. We have an opening for a 3-year PhD fellow position, connected to our Data Assimilation group, conducted in collaboration with our Sea Ice and Ocean
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sediment monitoring framework combining in situ observations and satellite remote sensing. The project directly supports EU policies including the Common Agricultural Policy, Soil Monitoring Law and Nitrates
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Mathematics » Statistics Geosciences » Other Technology » Remote sensing Engineering » Agricultural engineering Computer science » Programming Computer science » Informatics Computer science » 3 D modelling
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
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use their skill for the benefit of society in the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral
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at the intersection of energy and development. - Preferably (but not required), experience utilizing remotely sensed data and combining remotely sensed data with survey data Required Applicant Documents: Resume / CV
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the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote