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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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underlying digital dependencies unaddressed. Even with clear legal frameworks, the dependencies that Norwegian organizations develop on global platform companies, cloud providers, and proprietary software
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, environmental impact, power, security and ownership. UNDER THE CLOUD investigates how different actors understand, justify, or contest data centre development with a focus on the knowledge practices
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and transparency for different stakeholders? How can privacy-preserving mechanisms and AI-assisted data engineering support secure and efficient data sharing while fostering trust and responsible data
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing
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, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software
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. Experience with web-based scientific applications, data visualization, or large-image rendering Experience with containerization (e.g., Docker) and cloud or HPC deployment of scientific software. Engagement
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of whole rodent brains; memory-efficient I/O, tile-based or chunked processing, multi-resolution formats such as OME-Zarr) and GPU computing on cloud or HPC environments. Experience mentoring or training
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for recruitment positions for general criteria for the position. Preferred selection criteria Experience in processing-imaging techniques (e.g. 3D Data Processing, point clouds, geospatial Analysis) Knowledge and