Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- ; University of Warwick
- Chalmers University of Technology
- DAAD
- Universiteit van Amsterdam
- ; University of Bristol
- ; University of Southampton
- Aalborg University
- Curtin University
- Duke University
- Erasmus University Rotterdam
- Ghent University
- Harper Adams University
- Leibniz
- Monash University
- Purdue University
- Technische Universität Berlin •
- University of Bonn •
- University of Groningen
- University of Luxembourg
- University of Nottingham
- University of Oslo
- University of Twente
- Virginia Tech
- WIAS Berlin
- Wageningen University and Research Center
- 16 more »
- « less
-
Field
-
computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
-
Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
-
, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
-
machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
-
WIAS Berlin, Weierstrass Institute for Applied Analysis and Stochastics Position ID: 2306 -PHD [#26752, 25/11] Position Title: Position Location: Berlin, Berlin 10117, Germany [map ] Appl Deadline
-
The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin
-
Description The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
-
synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
-
optimization models and algorithms to address the above questions. Given the uncertainties involved in food supply chains, we prefer candidates who have a background in (stochastic) optimization methods (e.g