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position is within the Remote Sensing and AI in Hydrology research group. The Department of Building and Environmental Technology has a stimulating and international environment consisting of PhD students
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species, in heterogenous forest and monocultures. The research approach make use of data from existing experiments, remote sensing and drone monitoring. In many cases the delivered models are supposed
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/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
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that push the boundaries of what is possible, aiming for the next generation of wireless systems, remote sensing and space far-infrared instrumentation. You will benefit from engaging discussions with our
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of far-infrared electronics, with real-world impact in areas such as wireless systems, remote sensing, and space instrumentation. Information about the division and the department At the Department
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research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation
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remote sensing and molecular methods. Qualifications in research on ecological resilience, biodiversity indicators, or related areas will also be taken into account. Furthermore, the assessment includes
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-taking mechanisms, and/or experience of running distributed organizations. Ability to build communities and engender a common sense of purpose within them. Awareness of data science and AI challenges
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projects in international settings. Ability to build communities and engender a common sense of purpose within them. Awareness of data science and AI challenges specifically in life sciences, material
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. The research includes development of growth models, crop production management with remote sensing tools and spectral techniques, and agronomic studies. Ongoing projects involve the use of optical and radar