Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Aalborg University
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Leiden University
- University of Amsterdam (UvA)
- CNRS
- Centrum Wiskunde en Informatica (CWI)
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Technische Universität Berlin •
- University of Bremen •
- University of East Anglia
- University of Oslo
- Uppsala universitet
- AMADE research group
- Aalborg Universitet
- ETH Zürich
- Hannover Medical School •
- Inria, the French national research institute for the digital sciences
- Julius-Maximilians-Universität Würzburg •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Northeastern University London
- The University of Newcastle
- University of Bergen
- University of Birmingham
- University of Bonn •
- University of Göttingen •
- University of Luxembourg
- University of Münster •
- University of Texas at Austin
- University of Warwick
- Utrecht University
- 25 more »
- « less
-
Field
-
relaxations of the underlying PDE constraints can effectively reduce the nonlinearity of the inverse problem. Understanding this requires mathematical analysis of the PDEs and the resulting inverse problems, as
-
? No Offer Description At AMADE (Analysis and Advanced Materials for Structural Design), we are a research group from the University of Girona (UdG) internationally recognised for our leadership in
-
whether suitable relaxations of the underlying PDE constraints can effectively reduce the nonlinearity of the inverse problem. Understanding this requires mathematical analysis of the PDEs and the resulting
-
systems. The mathematical disciplines involved are mathematical modeling, numerical analysis, and scientific computing. Your tasks will involve: Conducting research on uncertainty quantification in
-
to your work duties after employment. Required selection criteria You must have a relevant Master's degree in mathematical sciences or equivalent, in particular computational mathematics, numerical analysis
-
data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
-
for a highly enthusiastic and motivated student with - a strong 1st class degree in Mathematics at the MMath/MSci/MSc level, or equivalent; - a solid background in numerical analysis of differential
-
mathematics. The position will be part of the research centre the Norwegian Center on AI for Decision (aiD) cooperating with over 60 companies. The research will integrate techniques of numerical analysis and
-
analysis: exploring relationships among quantum divergences and their role in statistical efficiency. Simulation and numerical validation: using small- to mid-scale quantum simulators and classical emulators
-
resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will