Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- University of Oslo
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- University of South-Eastern Norway
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
- Norwegian University of Life Sciences (NMBU)
- University of Stavanger
- Østfold University College
- ; University of Oxford
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Norwegian Center for Violence and Trauma Stress Studies
- Norwegian Meteorological Institute
- OsloMet
- UNIS
- University of Agder
- University of Inland Norway
- 7 more »
- « less
-
Field
-
to calculate your points for admission. Emphasis is also placed on your: background in algebraic or symplectic geometry or mathematical physics programming skills and experience with computer algebra packages
-
power electronics Machine learning Renewable energy systems Advanced statistics Language requirement: Good oral and written communication skills in English English requirements for applicants from outside
-
addressing measurement quality issues related to respondent non-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory
-
the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration
-
variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
-
), the Faculty of Medicine, University of Oslo (UiO), Norway. OCBE wishes to strengthen its capacity in machine learning and is looking for candidates with expertise and experience in statistical theory and
-
or Machine Learning). The master thesis must be included in the application. Documented proficiency in English, please see requirements below. Documentation of skills in English language Strong communication
-
, and AI chatbot chats; (b) quantitative content analysis; (c)text mining and machine learning methods; (d) survey design and public opinion research; (e) election studies; (f) the Norwegian political
-
sciences Economic and Administrative sciences Maritime sciences Social sciences and Humanities. The Faculty is also responsible for PhD programmes in computer technology, innovation and regional development
-
. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome profiling, or CAGE data