Maskinlæring

(Artificial intelligence, Deep learning )

Benjamin Cretois

• Deep learning 
• Image recognition / detection
• Eco-acoustic
• Spatial statistics
• GIS
• Citizen science data

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

Francesco Frassinelli

Richard Hedger

Carolyn Rosten

Taheera Ahmed

• Computer vision and deep learning (PyTorch)
• Databases (SQL, PostgreSQL) 
• Web development (Go, React TypeScript, Kotlin, Python)