Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, or quantum-inspired methods Experience with hybrid quantum–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience
-
design and evaluation of uncertainty quantification methods, as well as the integration of geostatistical techniques with Machine Learning models, analysing their reliability in fisheries and environmental
-
collaboration with local water utilities and software developers Integrate digital urban water twins with data, applying methodologies for data assimilation, parameter estimation, and quantification of model
-
candidates with strong expertise in Bayesian methods, uncertainty quantification, and/or machine learning applied to nuclear theory. The group’s research spans a wide range of topics including nuclear
-
and health. The lab conducts method-driven research in natural language processing (NLP) and artificial intelligence (AI), with an emphasis on LLM reasoning, uncertainty quantification, interpretability
-
lack reliable uncertainty quantification. The methods developed in the project will tackle these shortcomings, enabling computationally efficient inference and prediction of gas dynamics at high spatial
-
interest include physics-based surrogate modeling, uncertainty quantification, and multi-modal sensing, especially as applied to civil engineering systems. The successful candidate will complement and expand
-
, machine learning, signal processing, statistics and error analysis (uncertainty quantification). 5-10 years research experience with focus in an area related to the research pursuits of the Jacobs lab
-
improved performance in tasks of systems analysis like parameter estimation, solving inverse problems, and uncertainty quantification. The successful candidate will join a multi-institution research team
-
physics, multiscale modeling, and uncertainty quantification. The Multiscale Modeling of Fluid Materials group at the Technical University of Munich is looking for talented and ambitious scientists