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microscope, specifically optimized for spin-wave spectroscopy. Three patents have been filed on the original design, and the setup has already demonstrated unsurpassed spectral resolution. This project is
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can provide valuable insight into a wide range of processes occurring within the built environment. Potential applications include structural health monitoring, occupancy detection, building operation
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Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
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demands of real-time, edge-based processing. We are looking for a highly motivated PhD researcher with an interest in optimizing AI models on resource-constrained embedded hardware. Requirements include
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to accurate sample reconstructions using advanced signal processing and tomographic reconstruction algorithms. With the inclusion of noise the object estimation accuracy will be based on statistical concepts
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process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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devices. To ensure optimal reliability of the adopted lithographic processes, two aspects are important: (i) the surface quality of the silicon wafers needs to meet stringent requirements and (ii
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. This intervention constitutes optimal timing and a comprehensive design to achieve its intended goals, i.e., improved functional recovery post-TJA and general health, and decreased socio-economic burden
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to industrial processes—yet remains difficult to harvest efficiently with existing technologies. HEAT-BRIDGE addresses this challenge by bringing together ionic thermoelectrics, electrochemistry, mixed ionic