Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Chalmers University of Technology
- DAAD
- Technical University of Denmark
- ; University of Southampton
- ; University of Warwick
- Aalborg University
- CNRS
- Curtin University
- Duke University
- Erasmus University Rotterdam
- Ghent University
- Harper Adams University
- Josip Juraj Strossmayer University in Osijek School of Applied Mathematics and Informatics
- KU LEUVEN
- Leibniz
- Monash University
- Nature Careers
- Purdue University
- Technical University Of Denmark
- Technische Universität Berlin •
- Universiteit van Amsterdam
- University of Bonn •
- University of Bristol
- University of Luxembourg
- University of Nottingham
- University of Nottingham;
- University of Oslo
- University of Twente
- University of Warwick
- Virginia Tech
- WIAS Berlin
- Wageningen University and Research Center
- 22 more »
- « less
-
Field
-
/s41586-024-07490-1 Nicholson MD, Anderson CJ, et al. DNA lesion bypass and the stochastic dynamics of transcription coupled repair. 2024. PNAS 121: 20. https://doi.org/10.1073/pnas.2403871121 Aitken SJ
-
Optimization techniques (e.g. gradient-based, stochastic, linear programming) Machine learning techniques Energy processes and systems Furthermore, a successful candidate has: Excellent use
-
be applying methods such as sensitivity analysis, robust optimization, and stochastic modelling as you work on your project. You will be seconded with the Chalmers University of Technology (Sweden) and
-
optimization, and stochastic modelling as you work on your project. You will be seconded with the Chalmers University of Technology (Sweden) and Mærsk McKinney Møller Center for Zero Carbon Shipping (Denmark
-
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
-
breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
-
and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
-
position for candidates interested in interpretable AI, stochastic optimal control, deep learning and high-impact research in sustainable mobility. About us The position is located at the Systems and Control