Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- University of Agder
- BI Norwegian Business School
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- University of South-Eastern Norway
- Western Norway University of Applied Sciences
- 1 more »
- « less
-
Field
-
on psychological development, mental health, and psychosocial functioning, the project will identify developmental trajectories of attachment and examine factors that may predict these trajectories. The overarching
-
, e.g. HPLC, ICP-MS. Experience with using nuclear-reaction codes which are commonly used to predict the reaction cross sections for medical isotope production, e.g. TALYS, TENDL, CoH, ALICE and EMPIRE
-
dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its
-
of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential and limitations arising from the use of AI-based methods in predictive feedback
-
theoretical prediction. Develop a new understanding of the fundamental flow physics through theoretical and/or numerical work. Develop independence and be self-driven to advance with their research project
-
. The aim is to develop and analyze advanced models that integrate heterogeneous maritime data sources - such as AIS, metocean, emissions, port, cargo, and business data - to improve predictions of costs
-
requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian inference and foundation models Employment: University of Oslo, Department of Mathematics PhD programme
-
, starting date, and project-specific qualification requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian inference and foundation models Employment: University
-
reliable predictions from sparse, heterogeneous data, value both scientific publication and practical tool development, seek to contribute to safer, more sustainable underground resource extraction. We offer
-
(earthquakes, landslides, and other gravitational instabilities). Develop advanced numerical models for improving the simulation, the analysis, and the prediction of geohazards, as well as the application