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Field
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overall focus will be to strengthen the department’s expertise in closing the building “performance gap” through data-driven building operation optimization and system innovation. You will bridge advanced
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companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in
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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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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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on the ventilation process, which typically considers the use of window and mechanical air treatment based on average climate measurements. Airflow affects crop transpiration, growth, development, yield and quality
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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
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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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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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and life sciences. The EuXFEL High Duty-Cycle (HDC) upgrade will enable operation with long RF pulses (duty cycle above 10%) up to continuous wave (100% duty cycle), effectively increasing the number
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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