Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- ;
- DAAD
- Cranfield University
- Technical University of Munich
- Forschungszentrum Jülich
- Curtin University
- Leibniz
- University of Groningen
- University of Nottingham
- University of Southern Denmark
- Utrecht University
- University of Luxembourg
- ; Swansea University
- Monash University
- Ghent University
- Leiden University
- NTNU - Norwegian University of Science and Technology
- ; The University of Manchester
- Chalmers University of Technology
- Susquehanna International Group
- University of Sheffield
- Wageningen University and Research Center
- University of Copenhagen
- ; University of Southampton
- ; University of Surrey
- Swinburne University of Technology
- University of Twente
- VIB
- Vrije Universiteit Brussel
- ; University of Birmingham
- ; City St George’s, University of London
- ; Newcastle University
- Duke University
- Nord University
- Purdue University
- SciLifeLab
- University of Adelaide
- University of Antwerp
- University of Oslo
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Exeter
- AALTO UNIVERSITY
- CNRS
- CWI
- Heidelberg University
- Humboldt-Stiftung Foundation
- Imperial College London
- La Trobe University
- Ludwig-Maximilians-Universität München •
- Queensland University of Technology
- Radboud University
- University of Bergen
- University of British Columbia
- University of Göttingen •
- University of Tübingen
- University of Utah
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- Aalborg University
- Erasmus University Rotterdam
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- Linköping University
- Lulea University of Technology
- Molde University College
- RWTH Aachen University
- Roma Tre University
- Technical University Of Denmark
- The University of Manchester
- UiT The Arctic University of Norway
- Umeå University
- University of Cambridge
- University of Newcastle
- University of Oxford
- University of Southern Queensland
- University of Vienna
- ; Cranfield University
- ; University of Cambridge
- ; University of Leeds
- ; University of Strathclyde
- ; University of Warwick
- Aarhus University
- Abertay University
- Aristotle University of Thessaloniki
- Carnegie Mellon University
- Empa
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- GFZ Helmholtz Centre for Geosciences
- ICN2
- Inria, the French national research institute for the digital sciences
- KNAW
- KU LEUVEN
- Leiden University; Leiden
- Max Planck Institute for Biogeochemistry, Jena
- 90 more »
- « less
-
Field
-
stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days ago
21 Aug 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
-
student, you will be supported by a multidisciplinary team with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected
-
computational models that help us interpret and control how language is generated and understood by AI systems. The selected student will join the University’s vibrant research environment and will be encouraged
-
university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
-
by the Ada Lovelace Centre and the University of Birmingham. This interdisciplinary project is ideal for candidates with a background in physics, materials science, chemistry, or computational science
-
? Mechanical seals are critical components in high-pressure storage solutions for hydrogen and carbon capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational
-
, or relevant fields. Excellent programming skills in modern programming languages are required, as well as experience in computational or mathematical modelling. Experience with the analysis of biological data
-
Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
-
as Aeronautic and Aerospace Engineering, Biomedical Engineering, Product Design and Engineering (a minimum honours degree at UK first or upper second-class level). Experience in computational modelling