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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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; Sensing approaches using multiple lines of evidence (in-field proximal sensing, remote sensing etc) to improve crop and environmental information. Value Stipend of AUD $100,000 Maximum period of tenure
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FieldGeosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Your profile: MSc degree in geoinformatics, remote sensing, geography or related fields Background in hydrology or climatology is an asset
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Skills/Qualifications Your profile: MSc degree in geoinformatics, remote sensing, geography, computer science or related disciplines Experience in optical and radar analysis Familiarity with deep learning
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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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. 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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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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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 | 16 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