Sort by
Refine Your Search
-
Category
-
Employer
- University of Oslo
- OsloMet
- UiT The Arctic University of Norway
- University of Agder
- University of Bergen
- University of South-Eastern Norway
- University of Stavanger
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- OsloMet – Oslo Metropolitan University
- Simula UiB
- 2 more »
- « less
-
Field
-
processes that are examined in a number of different fields of research, namely first and second language acquisition and processing and language change. Currently, each field employs different models
-
large language models for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant response behavior (such as rapid guessing
-
exhibit hallmarks of active matter. This PhD project aims to develop theoretical and computational active-matter models of early mouse embryogenesis that couple collective cell mechanics with gene
-
neutron scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial intelligence models. The PD will work closely with both the PhD candidates and PIs within
-
of the following areas: robotics, machine learning, robot perception, underwater systems, nonlinear control, system modelling, or autonomous manipulation Strong programming skills and a solid
-
. Experience with programming, modelling, statistical analysis, or the use of data analytics, machine learning or artificial intelligence methods is desirable. Personal qualities Strong ability to follow through
-
within social innovation, social connection and quality of life, as well as the Senior Technology Acceptance Model (STAM). The project will contribute to the development of age-friendly technology
-
projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation
-
and their interactions with peptides. This primarily includes small angle X-ray and neutron scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial
-
probabilistic behavioral models for verification, performance evaluation, and optimization using model-checking techniques, ultimately bridging static system design and dynamic operational analysis. We offer