Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Bergen
- University of Inland Norway
- University of South-Eastern Norway
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Western Norway University of Applied Sciences
- Høgskulen i Volda
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Oslo University Hospital
- University of Agder
- University of Agder (UiA)
- 3 more »
- « less
-
Field
-
development (e.g., on dissemination and presentation skills, op-ed writing, and stress-management). Financial and practical support for international staff moving to Norway (https://www.uio.no/english/about
-
. The project is supervised by Associate Professor Ulysse Côté-Allard at the Department of Technology Systems, University of Oslo, whose research focuses on the development of machine learning algorithms
-
master’s degree from a university abroad must attach “Recognition of foreign higher education” from NOKUT. Instructions for obtaining this assessment are available from NOKUT, https://hkdir.no/en/foreign
-
requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as
-
to lead to a PhD in political science. To promote a strategic career path, all PhD fellows are expected to submit a career development plan, specifying career goals and the competencies that the PhD fellow
-
applicants, emphasis will be placed on: The quality of the project proposal Documented independent research and development work or experience relevant to the project It is mandatory to attach a project
-
of qualified applicants, emphasis will be placed on: The quality of the project proposal Documented independent research and development work or experience relevant to the project It is mandatory to attach a
-
of statistics and machine learning. Modern vessels produce vast amounts of multivariate data streams. The project addresses the development of trustworthy statistical and machine learning methods for anomaly
-
stages of the innovation process, including idea generation, development, and implementation. The project combines an individual-level focus on cognitive characteristics with an organizational-level
-
deadlines Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https