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Join Our Team: Associate Researcher in Machine Learning

Join Our Team: Associate Researcher in Machine Learning

Lund University seeks an Associate Researcher in Machine Learning to join InfraVis & CIPA, supporting interdisciplinary research through AI-driven data analysis and visualization. This full-time, permanent role offers career growth, collaboration with experts, and generous benefits. Apply now to contribute to cutting-edge research in a world-class academic environment!

Inspecting tomographic datasets and Protein Data Base files in Augmented Reality – the perfect tool for an immersive poster session

Inspecting tomographic datasets and Protein Data Base files in Augmented Reality – the perfect tool for an immersive poster session

The InfraVis node at Lund University has developed an application and workflow to visualize tomographic datasets in the immersive CAVE system at the Virtual Reality laboratory at LTH – Faculty of Engineering. The workflow was originally made for the LINXS hackathon SynchroMage: 3D Tomography and Visualisation for Earth’s Hidden Treasures – Environment and Climate theme, but after a positive evaluation from participants, also described in the following LINXS article, we have kept the development going.

Volume and slice visualization in the CAVE at LTH’s VR lab

Volume and slice visualization in the CAVE at LTH’s VR lab

The InfraVis node at Lund University has developed an application and workflow to visualize tomographic datasets in the immersive CAVE system at the Virtual Reality laboratory at LTH – Faculty of Engineering. The workflow was originally made for the LINXS hackathon SynchroMage: 3D Tomography and Visualisation for Earth’s Hidden Treasures – Environment and Climate theme, but after a positive evaluation from participants, also described in the following LINXS article, we have kept the development going.

NordPow

NordPow

The project’s primary objective is to create a comprehensive Nordic resource for researching churches and prayer houses. At the same time, it seeks to document and preserve the rich historical heritage associated with these religious sites across the Nordic region. The primary audience for this initiative is researchers specializing in religious studies. Currently, the dataset includes information on churches and prayer houses in Norway and Sweden. However, the project aims to expand to cover other Nordic countries in the future, further enhancing its value as a research tool.