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to develop novel numerical methods that allow us to overcome the curse of dimensionality in the simulation of fusion energy systems. The curse of dimensionality refers to the fact that traditional
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are computationally prohibitive, which limits their applicability to a restricted set of parameters and configurations. In this project, we aim to develop novel analytical and reduced-order numerical methods
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Desired profile Holding a Master of Science degree in Mechanics, the candidate has solid skills in numerical mechanics, numerical methods, and
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obtained Numerical modelling and inversion of magnetotelluric and controlled source EM data Interpretation of the modelling results in a geoscientific context New and further development of numerical methods
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of this postdoctoral position is to enable the formal verification of security protocols involving non-negligible probabilities. Formal methods have proven their value in the design and analysis of security protocols
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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-funded research project is to improve seismic methods of cavity detection with Full Waveform Inversion. The project entails the acquisition of a 9C-dataset at a test site in a mine and the processing
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. in Chemical Engineering or a closely related field. Deep knowledge of chemical kinetics, thermodynamics, and numerical simulation methods for reacting systems. Demonstrated expertise in scientific
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, Berlin 10099, Germany [map ] Subject Areas: Numeric Analysis, Partial Differential Equations Appl Deadline: 2026/04/11 04:59 AM UnitedKingdomTime (posted 2026/02/13 05:00 AM UnitedKingdomTime) Position
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responsibilities. Job Description: Dr. Feifei Xiao's laboratory (https://directory.ufhealth.org/xiao-feifei ) at the University of Florida's Department of Biostatistics (https://biostat.ufl.edu/ ) is accepting