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Field
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energy requirements. By doing all processing locally on-chip, the system eliminates the need for sending large amounts of unprocessed brain signals wirelessly that is essential for building completely
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training in oceanography, climate science, Earth Observation, and data science within a highly international research team. The Chair of Data Science in Earth Observation develops innovative signal
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. Determine how plant P sensing and signalling influence mycorrhizal colonization and responses. 2. Assess the relative importance of root traits, mycorrhizae, and rhizosphere processes for P efficiency
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-edge interdisciplinary project aims to understand charge transport in the natural mineral feldspar, unlocking new ways of measuring the rates of Earth surface processes — from weathering and erosion
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how plant P sensing and signalling influence mycorrhizal colonization and responses. Assess the relative importance of root traits, mycorrhizae, and rhizosphere processes for P efficiency under water
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infrastructures. This will involve deploying IoT-enabled smart sensors with decentralized processing to stream high-frequency data into a BIM environment for immediate structural analysis. Advanced algo-rithms
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models
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software tools such as Lumerical Interconnect, Vpi, Matlab, and Python. Hands-on laboratory experience with quantum and photonic systems, including experimentation, signal processing, and validation using