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. For more information visit: https://www.slu.se/en/departments/forest-resource-management/sections/forest-remote-sensing/ . Read more about our benefits and what it is like to work at SLU at https
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description: The Department of Agroecology at Aarhus University, Denmark, is offering a PhD position in integrating remote sensing data and process-based agroecosystem modelling, starting 15-09-2024 or as soon
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by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Many scientifical and technological applications, related to remote sensing and non
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. Eligibility criteria: We seek highly motivated candidates with interests in remote sensing and coastal ecology. The candidate will work closely with supervisors, but should have a strong and independent ability
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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 12 days ago
Robot and mobile applications (android based) to interface with the sensing and actuation layers and allow remote teleoperation. Duration: The research fellowship will have the duration of 6 months. It’s
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with different departments in SLU and other universities in Sweden. The doctoral student will work in the Division of Forest Remote Sensing at SLU in Umeå. The work will contribute to the large European
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Division of Forest Remote Sensing at SLU in Umeå. The work will contribute to the large European project FORWARDS and therefore travels within Europe should be expected. Qualifications: Required: Master
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awarded 1 Eligible courses Any applicable Curtin HDR courses. Eligibility criteria Honours / Master’s degree or equivalent qualification in a relevant area (e.g., satellite ocean colour remote sensing
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Your Job: You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote