Sort by
Refine Your Search
-
learning from sequential data is available at the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU) in Trondheim. The project will be supervised by Prof
-
for uncertainty quantification, such as the multilevel Monte Carlo method. For access to experimental data to validate mathematical models for wave motion, it will be natural to interact with ongoing experimental
-
an advantage if you have Experience with advanced simulation techniques for materials research, such as molecular dynamics, coarse-grained modeling, Monte Carlo, and quantum methods. Knowledge of machine
-
for uncertainty quantification, such as the multilevel Monte Carlo method. For access to experimental data to validate mathematical models for wave motion, it will be natural to interact with ongoing experimental
-
, mostly tailored to the case of dynamic sequential inference and probabilistic recommender systems. The position is connected to the project “Bayesian Rank-based unsupervised Integration of multi-source
-
count in the assessment of the applicants: Proficiency in item response theory Prior experience with Monte Carlo simulation studies Experience with two of the following topics: (a) AI, machine learning
-
-performance computing, astrophysical data analysis, statistical methods including Markov Chain Monte Carlo, and working both independently and in collaborative research environments. Colourbox via Unsplash
-
. Knowledge of statistical analysis and Markov Chain Monte Carlo Experience with machine learning Ability to work independently and in collaborations Language requirement: Good oral and written communication
-
social consequences of the digital transformation. If hired, you will work under the supervision of Associate Professor Carlo Knotz , Professor Raul Ferrer Conill and Associate Professor Siv Hilde Berg
-
for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference and probabilistic recommender systems. The position is connected to the project