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                consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based 
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                collaboration with core facilities, we have optimized and generated single-cell and single-nucleus datasets on immune cells and tissue sections, providing a unique opportunity to explore neutrophil biology in 
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                farm layouts with high specific power density through the co-optimization of array design and control strategies. This project is a collaboration with CNR-INM Institute of Marine Engineering in Rome 
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                Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of the following disciplines: advanced 
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                broad genomic screening and (2) support hospitals in mitigating the impact of pandemics through optimized decision-making and data collection strategies. The project brings together experts in artificial 
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                tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making 
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                impact of treatments remains poorly understood. Radiotherapy, a cornerstone of cancer treatment, has advanced in optimizing dose distribution and improving tumour localization. However, it still 
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                tailored to high-resolution high-throughput imaging assemble, align, optimize and validate the microscope using reference samples expand existing software with data analyses tailored to the new microscope 
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                ); novel obfuscations and obfuscation recipes to defeat LLMs and other AI-based reverse engineering tools; the use of AI techniques and LLMs to optimize reverse engineering strategies; modeling techniques 
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                for remote applications: A crucial aspect of this project will be the optimization and deployment of developed signal processing and machine learning algorithms onto resource-constrained edge devices