Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- University of Bergen
- University of Stavanger
- Norwegian University of Life Sciences (NMBU)
- University of South-Eastern Norway
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- University of Agder
- BI Norwegian Business School
- Høgskulen i Volda
- Institute of Marine Research
- NTNU Norwegian University of Science and Technology
- Oslo Metropolitan University
- OsloMet
- 4 more »
- « less
-
Field
-
central component of special needs education and contributes to promoting participation, inclusion, learning, and well-being among children, young people, and adults with special educational needs. Research
-
you will apply for the position with us. We offer Exciting and meaningful research tasks as part of an ambitious project on mathematical learning difficulties The opportunity to research children's
-
for a full-time, 4-year position as a PhD candidate connected to the project “Global Childhoods on Screen: Children’s Film, English Learning, and Critical Media Literacy”. The position is affiliated with
-
, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department
-
, Julia, C/C++ or similar is required. Experience with machine learning, analysis of climate or high-resolution model output, climate predictions/projections or environmental risk assessment is an advantage
-
IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT
-
as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will also be assigned relevant teaching as part of the career
-
with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
-
many areas of applied and theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to
-
, methods and models (e.g., deep learning methods, multimodal AI) for the automatic identification of behavioral cues during ecological interactions with people and the environment and analyses of video and