Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Ghent University
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Nature Careers
- University of Southern Denmark
- Cranfield University
- Utrecht University
- DAAD
- University of Copenhagen
- Forschungszentrum Jülich
- University of Groningen
- Leibniz
- ;
- Erasmus University Rotterdam
- UiT The Arctic University of Norway
- ; The University of Manchester
- Curtin University
- SciLifeLab
- Technical University of Munich
- University of Sheffield
- University of Utah
- ; University of Birmingham
- ; University of Exeter
- CWI
- Leiden University
- Swedish University of Agricultural Sciences
- Universite de Moncton
- University of Nottingham
- University of Vienna
- Østfold University College
- ; Aston University
- ; Loughborough University
- ; Swansea University
- ; Technical University of Denmark
- ; University of Nottingham
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- ; University of Warwick
- CEA
- Chalmers University of Technology
- ICN2
- Imperial College London
- Lulea University of Technology
- Max Planck Institute for Sustainable Materials •
- Monash University
- NORCE
- National Institute for Bioprocessing Research and Training (NIBRT)
- Norwegian Meteorological Institute
- Queensland University of Technology
- Swinburne University of Technology
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- Umeå University
- Universiti Teknologi PETRONAS
- University of California Davis
- University of Louisville
- University of Münster •
- University of Newcastle
- University of Southern Queensland
- University of Tübingen
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- 53 more »
- « less
-
Field
-
. The position will involve development of codes/models simulating the nucleation and propagation of stress corrosion cracking in samples under low cycle fatigue conditions, as well as models for linking
-
aims at developing tools using large language models (LLMs) for the correction of misinformation about climate change in social media. The successful candidate will develop innovative tools leveraging
-
management platform that connects institutes to facilitate a rapid and efficient exchange among experimental and computational groups Devising an approach in invertible predictive modeling that links
-
modeling to simulate the pavement response under different loading conditions. The research will support improvements of the existing specification for the maximum authorized axle load and mass of vehicles
-
tasks will be to: Develop and implement machine learning models for dynamic simulations of renewable power systems Develop comprehensive guidelines for verifying and testing dynamic equivalents Integrate
-
. Extending the model to full two-way coupling, allowing feedback from flexible vegetation on wave-induced flow. Applying the fully-coupled model to simulate interactions under both regular and irregular wave
-
hydrogen storage tanks. This PhD vacancy is focused on the finite element modelling and design of the pressurized composite tank, in different operational conditions (static burst, fatigue and impact). The
-
this astonishing picometre fabrication precision. Further aims of the project include: Theoretical modelling of nanoscale effects and processes in SNAP Development of experimental methods of picometre-precise
-
the molten pool. However, these models are computationally intensive and impractical for widespread simulations of large-scale part deposition. This project aims to develop a novel FEA-based approach
-
, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental