211 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" scholarships in Norway
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Oslo
- UiT The Arctic University of Norway
- Norwegian University of Life Sciences (NMBU)
- University of Stavanger
- OsloMet
- University of Bergen
- Molde University College
- OsloMet – Oslo Metropolitan University
- University of South-Eastern Norway
- Western Norway University of Applied Sciences
- CICERO Center for International Climate Research
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Nansen Environmental and Remote Sensing Center
- UNIS
- 6 more »
- « less
-
Field
-
Digital Twin for façade condition, fire safety risk classification, and maintenance planning Apply statistical and machine-learning methods to link climatic loads to degradation indicators Validate models
-
relevant if there is a strong focus on data-driven modeling, machine learning, and control. In any case, a documented background or experience in control is required. Your education must correspond to a five
-
Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
-
an advantage if you have Interest in the mechanical behavior of materials. Experience with machine learning and/or programming/coding. Experience with finite element modeling from civil, mechanical, or marine
-
optimization (WOB, RPM, flow rate, etc.) using machine learning techniques Anomaly detection for downhole vibrations, bit failure, and circulation losses Integrating physical modeling, digital twins, and data
-
) for general criteria for the position. Preferred selection criteria Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C
-
shelf lives, and additionally may change colour, texture, and stiffness rapidly. Further, the lack of standardised 3D models for the wide variety of products makes offline learning challenging. As a
-
will utilize economic theory, simulation, economic evaluation and machine learning to quantify the benefits of advanced diagnostic technologies in reducing overdiagnosis. Competence You must have
-
, Language Technology, Computer Science with a specialization in NLP or machine learning, or equivalent. The master's thesis must be submitted before the application deadline. It is a requirement that the
-
of the following areas: robotics, machine learning, robot perception, underwater systems, nonlinear control, system modelling, or autonomous manipulation Strong programming skills and a solid