Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- University of Stavanger
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
- University of Agder
- OsloMet
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Østfold University College
- ;
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nature Careers
- Nord University
- University of Oxford
- University of South-Eastern Norway
- 9 more »
- « less
-
Field
-
that the PhD candidates complete their degrees within the nominal length of study an attractive and good learning environment for PhD candidates The programme offers several courses and candidates from other
-
the digitalization for risk management; therefore, it is expected that the candidate will be familiar with new methods such AI (deep learning) for subsurface studies (seismic interpre-tation). A part of the
-
, including individually tailored career development plans with formal supervision and project-based learning tied to deliverables. Secondments, consortium meetings, and workshops will provide hands
-
acquire. Access to career guidance will be provided throughout the doctoral education. Research topic Applications from candidates in all fields of economics and finance are encouraged, particularly within
-
is located at Campus Grimstad. The starting date is negotiable with the Faculty. The position is funded through the SFI CELECT (Centre for Effective Engineering and Learning in Complex Systems), a
-
plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. The position is part of
-
introduce fundamental challenges related to guidance, control, coordination, and human–machine interaction. This PhD position addresses these challenges through the development of high- Technology Readiness
-
with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythm
-
international network, e.g., as part of the Nordic Nanolab Expert Network. This network also provides a very good opportunity to interact and learn from other highly experienced cleanroom engineers working within
-
”. If you do not already have educational competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment