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: (1) automated reconstruction of a visual and geometrical 4D Digital Twin based on visual computing; (2) usage of information from digital imaging techniques for estimation and prediction of current and
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to shape future consumer, industrial, medical, and scientific visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH
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research interest. You have a background in computer science, visual computing and computer vision or at least a strong interest. You have a background in nuclear technology, radiation physics and nuclear
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following up on large scale characterization Analysing and visualizing performance data from die-to-die, wafer-to-wafer, and lot-to-lot Improving existing photonic platforms and contributing
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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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visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH); Optical system analysis and simulation; Developing AI/ML algorithms
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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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of computational pipelines and analyses Troubleshoot and resolve issues in existing packages and pipelines Develop new visualizations of biological data for your colleagues and the community Your profile Essential
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10 Apr 2026 Job Information Organisation/Company Université catholique de Louvain Research Field Communication sciences » Media studies Computer science » Other Language sciences » Linguistics
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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