Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Stavanger
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Bergen
- ;
- University of Agder
- BI Norwegian Business School
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- OsloMet
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- The Oslo School of Architecture and Design (AHO)
- University of Agder (UiA)
- Western Norway University of Applied Sciences
- 7 more »
- « less
-
Field
-
. • Experience with machine learning and artificial intelligence. • Strong programming skills (e.g., Python, C++), and familiarity with ROS or similar frameworks. • Experience with simulation tools like
-
research and education in data science, statistics, machine learning, optimization, and business analytics. The department collaborates closely with industry and the public sector and hosts regular research
-
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
-
performance, plume evolution, and pressure-build ups in potential multi-site storage licenses. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites
-
public defence are eligible for appointment Strong programming and artificial intelligence/machine learning skills Interest in creative or artistic applications. Documentary evidence would be beneficial
-
of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
-
attract the applicant. PhD Research Fellow in Robotics available at the Department of Technology Systems. Apply for this job See advertisement About the position Position as PhD Research Fellow in Robotics
-
to oxygen. • Conducting complimentary microbiological & biogeochemical measurements (e.g. nutrients, flow cytometry, pigments). • Using machine learning as a tool in analyzing diversity data. At UiT we put
-
both on the sequence and structural level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody design is a long-standing computational and
-
are expected to submit a career development plan, specifying career goals and the competencies that the PhD fellow should acquire, no later than one month after commencement of the fellowship period. The