Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Oslo
- UiT The Arctic University of Norway
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- OsloMet – Oslo Metropolitan University
- University of Agder
- 1 more »
- « less
-
Field
-
academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases
-
) is entitled Multiscale and multimodal spectral image acquisition, integration, analysis and visualization. Objectives: This project will develop strategies for the acquisition, integration, analysis
-
environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
-
environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
-
IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases
-
subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing
-
environment or atmospheric or lightning physics is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Hands-on experience with
-
languages aimed at scientific data analysis and visualization is a requirement. Documented general knowledge of the near-earth space environment, atmospheric or lightning physics is an advantage. Documented
-
or the adaptation of existing tools and techniques for spatio-temporal analytics, such as representation, exploratory visualization and theories and mathematical model development of spatio-temporal data. Support
-
physics is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Hands-on experience with radio, optical, or hard-radiation