577 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of Bergen
- University of Stavanger
- Norwegian University of Life Sciences (NMBU)
- OsloMet – Oslo Metropolitan University
- University of Agder
- NHH Norwegian School of Economics
- NORCE Norwegian Research Centre
- OsloMet
- University of Inland Norway
- BI Norwegian Business School
- Molde University College
- Nature Careers
- Nord University
- Western Norway University of Applied Sciences
- Østfold University College
- ;
- CESSDA ERIC
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Norwegian Institute of Bioeconomy Research
- OsloMet - storbyuniversitetet
- Simula Research Laboratory
- Simula UiB
- The Norwegian Center for Holocaust and Minority Studies
- The Norwegian Polar Institute
- The Peace Research Institute Oslo (PRIO)
- UNIS
- University of Agder (UiA)
- University of Oslo;
- University of South-Eastern Norway
- VID Specialized University
- 28 more »
- « less
-
Field
-
to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
-
, the Hospital Pharmacies Enterprise in South-Eastern Norway and the Medicines Optimization Innovation Centre, Nord-Irland. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job
-
research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts
-
samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
-
intelligence, data analytics, uncertainty analysis, probabilistic modelling, or statistical learning you have experience working on relevant research or project activities involving machine learning or data
-
SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
(as machine learning techniques, etc.). Personal characteristics In the evaluation of which candidate is best qualified for the PhD position, emphasis will be placed on education, experience and
-
. Strong (inter-)national network in field of application. Experience with high-performance computing (HPC) and large datasets. Experience with machine learning applied to geophysical signals. Experience in
-
language processing or computational linguistics; alternatively, in computer science or machine learning with a specialization in natural language processing Documented knowledge of core machine learning methods and
-
for machine learning models to optimise membrane properties, structure, and fabrication. The fellow will play a key role in the experimental part of the project, including: Preparation and characterisation
-
academic updating. At the core of the position lies the responsibility to teach main and elective courses within both the Bachelor (BFA) and the Master of Fine Arts (MFA), as well as individual supervision