Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Bergen
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- Western Norway University of Applied Sciences
- Nature Careers
- Norwegian Institute of International Affairs
- University of Agder
- University of Stavanger
-
Field
-
-time control & optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio Telescope may be possible, depending on the interest of the PhD
-
. The following is a brief description of the center: The Center for Language, Brain and Learning (C-LaBL) aims to provide a step-change in our understanding of how multiple languages interact in the mind/brain
-
the renewable energy management system by developing novel real-time control & optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio Telescope may
-
in programming language theory, algorithms, distributed systems and logic Experience with language-based techniques for information-flow analysis or access control, formal methods or semantic
-
power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods
-
the advances in battery technology, as it enables more precise monitoring, control, and optimization of battery performance throughout its lifecycle. By incorporating digital tools such as algorithms, and
-
intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
-
-high-resolution analyses of lake sediments to reconstruct glacier dynamics across multiple regions. The findings will contribute to understanding future glacier changes in Scandinavia and globally and
-
objectives are to (i) improve process understanding of variation and context-dependencies in biodiversity change, (ii) assess and compare the impacts of multiple global change drivers, and (iii) explore
-
in biodiversity change, (ii) assess and compare the impacts of multiple global change drivers, and (iii) explore consequences of biodiversity and vegetation changes for ecosystem functioning