41 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" Fellowship positions in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Stavanger
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of Bergen
- Western Norway University of Applied Sciences
- ;
- NTNU - Norwegian University of Science and Technology
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- University of Agder (UiA)
- 1 more »
- « less
-
Field
-
economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project
-
. In addition, you must have: a solid foundation in energy technology and a strong understanding of artificial intelligence (AI), machine learning (ML), and data-driven modeling documented experience
-
Sociology » Sociology of labour Sociology » Sociology of religion Sociology » Urban sociology Sociology » Other Educational sciences » Education Educational sciences » Learning studies Educational sciences
-
Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. The University of Stavanger funds the position. It is connected to the international research project
-
/english/research/groups/dsb/index.html) as part of Visual Intelligence (http://visual-intelligence.no) , Norway's leading research centre in deep learning for image analysis. Starting date as soon as
-
of Anomalies ” (SODA), newly funded by the Norwegian Research Council and affiliated with Integreat – the Norwegian Centre for Knowledge-driven Machine Learning. We are looking for a motivated candidate, who
-
University of Stavanger invites applicants for a PhD Fellowship in in molecular modelling and machine learning for improved subsurface utilization, at the Faculty of Science and Technology, Department
-
integration and optimized operation using machine learning and AI techniques as key drivers for improving system performance. The hired candidate will have the opportunity to work with cutting-edge energy
-
particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role? Qualification requirements: The Faculty of Mathematics and Natural Sciences has a
-
viability data to discover new biomarkers and treatment strategies. You will work in a highly interdisciplinary environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with