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Field
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unprecedented pressure on urban electricity networks resulting in Grid congestion. In particular, construction sites often require high-power charging in locations where grid connections are unavailable
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, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware control, network optimization, or joint communication and sensing is highly
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and distributed sensing applications over optical fibers. The work will involve advanced manipulation of the phase of ultra-stable lasers, the development and implementation of advanced modulation and
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for trolleybuses and electric public transport. These networks represent a largely untapped energy asset that could provide local flexibility, support charging infrastructure, and enable new forms of distributed
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 22 days ago
regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed validation for fine-scale soil moisture
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and subjective listening tests. Your network and team You will be supervised by Assistant Professor Lauri Juvela, who leads the Speech Synthesis research group at Aalto University. The group works on
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the distributed hydrologic model ATS (The Advanced Terrestrial Simulator), coupled to a trait-based plant-soil-microbe model (ATS-EcoSIM). The code provides a framework for three-dimensional hydrologic
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develop and become more severe, and as they improve with treatment conditions. These studies aim to provide the rationale for development of neuromodulatory approaches designed to reshape network activity
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and global timber security. Specific questions this project aims to address: How is the forecasted distribution of (suitability for) commercially valuable timber species likely to change throughout
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures