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this conversion process, driven by many open questions. Which model types and sizes are most effective? How should they be prompted, orchestrated, and validated for optimal accuracy? Could we deploy them locally
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architectures having in mind optimal distribution of building blocks between CMOS and InP chips as well as multi-band operation. Further, investigation has to be done into topologies of the mm-wave building
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-based machine learning prediction model; Processing imaging data (18F-FDG PET/CT and DW-MRI / DCE-MRI scans); Validating the accuracy and reliability of the prediction model; Optimizing and validating
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are: Optimizing treatment decisions by using MRD data combined with artificial intelligence The aim of this research project is to better predict development and kinetics of minimal residual disease (MRD) and
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-of-the-art equilibrium and optimization models to capture market clearing and price formation processes, market distortions and policy interventions. These models allow addressing policy-relevant research
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staff position within a Research Infrastructure? No Offer Description Hydrogen is a recognized crucial component, required for many industrial processes. The sustainable electrochemical production
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optimizations and approaches inspired by machine learning within the framework of cognitive radar; and C) verify the developed approaches with suitable simulations and experimental demonstrations. Specifically
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material, launching a strain wave in the process. That strain wave propagates to and reflects off the marker, creating a strain-wave copy. At the surface, light measures this strain wave copy of the marker
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the use of photoacoustics. There, a pump pulse rapidly heats up an absorbing material, launching a strain wave in the process. That strain wave propagates to and reflects off the marker, creating a
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composition and the resulting microstructure, providing insights that are essential for optimizing the texture and functionality of plant-based foods. As a PhD candidate, you will work on cutting-edge research