Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- University of South-Eastern Norway
- UiT The Arctic University of Norway
- University of Stavanger
- NTNU - Norwegian University of Science and Technology
- University of Agder
- University of Inland Norway
- Western Norway University of Applied Sciences
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nature Careers
- OsloMet
- 2 more »
- « less
-
Field
-
technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By
-
of the research topic’s relevance to educational issues, the specific problems to be studied, the choice of scientific theory and method, and the proposed implementation plan for the stud. It is important that
-
, for instance, those based on processes of storytelling, creative writing, cognitive science, narrative theory, and/or theories of creativity. The successful candidate will conduct collaborative as
-
writing, cognitive science, narrative theory, and/or theories of creativity. The successful candidate will conduct collaborative as well as their individual research within the Center for Digital
-
proposal (5-10 pages). The proposal must include the topic, relevant theory and methods and timeline. The proposal should include an explicit account of how the project contributes to the development
-
include the topic, relevant theory and methods and timeline. The proposal should include an explicit account of how the project contributes to the development of sociology at the department. Applicants
-
. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
-
mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
-
description, the description of the research topic’s relevance to educational issues, the specific problems to be studied, the choice of scientific theory and method, and the proposed implementation plan
-
a strong background in STEM fields (e.g., Electrical power engineering, control system engineering, Physics or environmental engineering, Mathematics (Operations research) or Computer Science