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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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focuses on understanding the molecular and cellular mechanisms of systemic amyloid deposition, with particular emphasis on AL and ATTR amyloidosis. We use in situ structural approaches to visualize amyloid
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to automated content analysis, particularly to optical character recognition (OCR) tools, which are not trained to such variation. Archives are also challenged by storage, format, metadata, and
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so, you use innovative hybrid AI techniques that combine symbolic AI methods such as Point Descriptor Precedence (PDP) with data-driven infrastructures such as transformers. You visualize analysis
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supervise cutting-edge interdisciplinary research building on the analysis of large-scale blockchain data. This will include, but is not limited to: Designing, implementing, and maintaining scalable pipelines
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bacteria (2 years – extendable to 3 years) Challenge : The conductive fiber network in cable bacteria provides a unique structure in biology. The goal is to elucidate and visualize this three-dimensional
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neurodegeneration both within as well as across -omics modalities, leveraging both in house as well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project
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allocation and optimization Joint Communications and Sensing/PNT systems Network virtualization and network slicing MAC techniques/protocols for wireless systems Multi-antenna signal processing Graph signal
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Artificial Intelligence with a primary focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including