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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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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
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forms of search aids and corpus visualization tools. Specifically, the project will contribute to addressing two issues: (1) the lack of understanding of available archival representations and the way
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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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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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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has