Artificial Intelligence
Benjamin Cretois
- AI for image and sound classification
- Data-Centric AI
- Bioacoustics
- Cloud Services
- Statistics
- Python
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Kjetil Grun
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Megan Sarah Nowell
Landscape ecology, spatial pattern analysis, GIS, remote sensing, drones, deep learning, machine learning, transformational leadership for sustainability, nature-based solutions, pollinator parks, African ecology, connectivity, fragmentation, renewable energy, restoration
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Zander Venter
Remote sensing (satellite and aerial), vegetation ecology, ecosystem services, pollution, GIS
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Vegar Bakkestuen
Major practical experience includes: Thorough knowledge of different GIS applications, e.g. ArcView, ArcGIS, ArcInfo, ERDAS IMAGINE, Surfer, Idrisi, MapObjects, Grass, MapFactory, Splus SpatialStatistics. Thorough knowledge of Avenue, script language of ArcView. Development of scripts and extensions for ArcView Knowledge of VisualBasic programming Digital landscape- and terrain analyses Spatial statistics Studies of vegetation structure and vegetation dynamics Regional studies of impacts of acid deposition on terrestrial plant biota, - vascular plants, bryophytes, lichens and fungi. Fieldwork design, sampling protocols and data analyses Numerical and statistical treatment of field data, including multivariate analyses like CA, DCA and direct gradient analyses; e.g. CCA constrained ordination
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Taheera Ahmed
- Computer vision and deep learning (PyTorch)
- Databases (SQL, PostgreSQL)
- Web development (Go, React TypeScript, Kotlin, Python)
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