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Methods Tropical forest soils are crucial to the global carbon cycle, yet increasing wildfire, land-use change, and climate warming may cause large carbon emissions. This PhD will investigate (1) how soil
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are urgently needed to monitor PFAS in water and probe their interactions with biological systems. This PhD project will develop a cutting-edge single-molecule optical sensor for real-time, ultra-sensitive PFAS
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Methods This project investigates the cascading impacts of wildfires on the atmosphere, land systems, and human health. The core science questions are: How do wildfire emissions affect atmospheric
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: enforcing that corrected positions comply with known map constraints, e.g., restricting ground vehicles to the Earth’s surface. Satellite homogeneity: for example, assuming uniform satellite behavior
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the following research questions: a) How do species traits predict important ecological processes, including food web structure and resilience to perturbations? b) Can the patterns and correlations of species
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Topography. Examples of post-storm relevant spaceborne missions include, BIOMASS L-band Synthetic Aperture Radar (SAR), NISAR SAR, and GEDI LiDAR, that can capture structural information about the forests
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
is to exploit transformer-based attention mechanisms to model sequential dependencies and capture long-range interactions, making them promising tools for complex spectrum management. Despite being
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of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based on their knowledge and assumptions
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. This PhD project will investigate the interactions between wildfire disturbance and thermokarst dynamics across Siberia and other Arctic regions using multi-sensor satellite remote sensing data provided by
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relies on accurate models of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based