Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- University of Stavanger
- OsloMet
- BI Norwegian Business School
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- ;
- Nord University
- University of Agder
- Østfold University College
- CMI - Chr. Michelsen Institute
- Molde University College
- The Oslo School of Architecture and Design (AHO)
- University of Sheffield
- University of South-Eastern Norway
- 8 more »
- « less
-
Field
-
research project Expertise in machine learning Additional expertise in one or more of the following: digital signal processing, statistics, multimodal processing, FAIR data management, music theory
-
measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models
-
completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining. Experience with
-
approved. Desired qualifications and competencies PhD thesis relevant to the proposed research project Expertise in machine learning Additional expertise in one or more of the following: digital signal
-
of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The appointment is a full-time position and is made for a period of three years, 10% of which is
-
influencing their lives. This call requests research proposals that employ a practice-based programmatic research-through-design methodology, evolving learnings through oscillation between practice-based design
-
participation in the war in Myanmar since the 2021 military coup d’état. This responsibility includes a mapping of the conflict’s digital war ecology and focusing in on a specific example of remote participation
-
calculations Knowledge about machine learning application in condensed matter Knowledge about magnetism, superconductivity, and topological order Personal characteristics We are looking for a candidate who is
-
level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody design is a long-standing computational and immunological problem. Improving
-
positions within their disciplines. A career plan shall be developed for the Postdoctoral Fellow, specifying the competencies the Postdoctoral Fellow should acquire. UiO is responsible for following up