-
selection criteria Knowledge in statistical learning/machine learning, estimation techniques Experience with general process modelling Experience with methods from RAMS (Reliability, Availability, Safety
-
selection criteria Knowledge in statistical learning/machine learning, state estimation techniques Experience with process modelling Experience with methods from Reliability, Availability, Safety, Maintenance
-
of children’s and adolescent’s mental health problems Knowledge about the organization of health services addressing child, - and adolescent mental health problems in Norway Experience with statistical methods
-
microstructure-based models for plastic flow and fracture in metal materials with statistically varying mechanical properties. The research activities will primarily involve numerical modelling and simulations
-
(ii) Identification of relevant failure modes for both single nylon mooring lines and for different mooring configurations. (iii) Statistical models of mooring line load effects both in relation
-
21 Feb 2024 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics » Statistics Researcher
-
of the thermodynamic principles of high temperature and aqueous processes. Solid background in data and/or statistical analysis. Willingness to design and build equipment and scientific instruments. Personal
-
algorithms for federated statistical model parameter estimation. The position is funded by the Norwegian Research Center for AI Innovation and will be based in the Cryptology division of the Department
-
cybernetics, automatic control, process systems engineering, applied mathematics or equivalent. Background in control theory and numerical methods for control, optimization and statistical learning is a
-
skills such as co-simulation, programming, and other machine learning/statistical methods linkable to simulation will be highly valuable. Proven experience in collaborative research projects, preferably