Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, United States of America [map ] Subject Area: Uncertainty Quantification for Life Sciences Appl Deadline: (posted 2025/10/01, listed until 2026/04/01) Position Description: Apply Position Description North Carolina State
-
potential (PPST) and therefore, in accordance with regulations, requires your arrival to be authorized by the competent authority of the MESR. This PhD project will investigate modeling uncertainties in flame
-
Associate in a university to work on a specific project. Working alongside the Digital Team at MIRICO, the Algorithm developer will develop a new algorithm to enhance the localisation and quantification
-
as possible and can handle the constraints. • Integrate them into Bayesian models to sample the posterior distribution and provide uncertainty quantification on the estimated parameters. • Generalize
-
he will assess different finite element schemes for the accurate and efficient solution to the estimation problem. The candidate will also explore numerical/statistical approaches for the uncertainty
-
language processing, large language models; - Experience in evaluation, uncertainty quantification, explainability, and debiasing; - The candidate should have good knowledge of written and spoken English, be self
-
; phase changes), Computer Science and Informatics (uncertainty quantification), Environment and Society (pollution and climate; sustainable development and nature protection), Earth System Science
-
No. 1 scholarship grant for scientific training activities at INFN Structure of Bari for the following research topic: “Uncertainty quantification of Tritium breeding models in fusion reactors” Where
-
recent PhD, supplemented with literature data. Application of the model to estimate the long-term stability of connecting gallery lining, including model updating and uncertainty quantification. Where
-
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