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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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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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communication, localization, and remote sensing. Duties We like to welcome enthusiastic and adaptable PhD candidates to join our interdisciplinary research group to either develop a) innovative methodologies for
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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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of quick clays. A novel combination of miniaturised thermal-hydro-mechanical experiments and particle level modelling will be pursued to unravel the unique mechanisms that make quick clays so hazardous and
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, thermal dynamics, and charging strategies. Validate methods through simulation and collaboration with industrial partners (Volvo Group). Publish results in leading journals and present at international
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-tax)- Minimum 28 paid vacation days per year- A collaborative, inclusive team that values not only excellence, but also a good sense of humor 😄- Access to cutting-edge labs, mentorship, and a strong
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Advance Fall Risk Prediction and Rehabilitation with Cutting-Edge Sensing Technologies! Are you passionate about research that makes a real difference in people’s lives and society? Do you thrive
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of cells/tissues and biochemical reconstitution to study the replication of positive-sense RNA viruses. This is a vast group of viruses responsible for serious diseases such as Dengue, Chikungunya, TBE and
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents