Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
computer vision models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek
-
detailed data about forest ecosystems. To convert the captured data into meaningful information about the forest environment we seek a PhD candidate who wishes to advance state-of-the-art computer vision
-
south of Oslo. via Unsplash Main responsibilities Development and testing of digital solutions for small forest owners. These solutions include Computer vision models and a digital assistant based on a
-
available1Company/InstituteDepartment of Computer ScienceCountryNorwayCityTrondheimPostal Code7491StreetHøgskoleringen 1Geofield Contact City Trondheim Website http://www.ntnu.no Street Høgskoleringen 1 Postal Code
-
relevant background within Learning Technologies, Interaction Design, Human-Computer Interaction (HCI), Human-Centred Computing or alike. You must have a Master's degree in Computer Science or equivalent
-
have an academically relevant background within Learning Technologies, Interaction Design, Human-Computer Interaction (HCI), Human-Centred Computing or alike. You must have a Master's degree in Computer
-
(computer-based test)/90 (internet-based test) or a IELTS score of 6.5. In some cases, applicants can request a waiver from TOEFL/IELTS by submitting a waiver form (found here) together with the application
-
for the computer-based version or 90 points on the internet based test IELTS – a score of 6.5 Exemptions are made for applicants: whose native language is English who have two years or more of higher education where
-
(computer-based test)/90 (internet-based test) or a IELTS score of 6.5. In some cases, applicants can request a waiver from TOEFL/IELTS by submitting a waiver form here together with the application. As a
-
master's students, and contribute to the dissemination of research findings. Work closely with computer scientists, statisticians, and neurologists to ensure both clinical relevance and methodological