Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- Nature Careers
- SciLifeLab
- Chalmers University of Technology
- Technical University of Denmark
- DAAD
- Technical University of Munich
- Ghent University
- Susquehanna International Group
- ; University of Warwick
- NTNU - Norwegian University of Science and Technology
- University of Groningen
- Curtin University
- Fraunhofer-Gesellschaft
- University of Luxembourg
- ; The University of Manchester
- Linköping University
- University of Nottingham
- ; University of Nottingham
- Aalborg University
- CWI
- Carnegie Mellon University
- Cornell University
- Humboldt-Stiftung Foundation
- Leibniz
- Utrecht University
- VIB
- Vrije Universiteit Brussel
- ; University of Exeter
- ; University of Oxford
- ; University of Surrey
- RMIT University
- University of Antwerp
- University of Southern Queensland
- University of Twente
- ; City St George’s, University of London
- ; Newcastle University
- ; University of Bristol
- ; University of Leeds
- Abertay University
- Duke University
- Flinders University
- Forschungszentrum Jülich
- Helmholtz-Zentrum Geesthacht
- Imperial College London
- La Trobe University
- Leiden University
- Lulea University of Technology
- Monash University
- Norwegian University of Life Sciences (NMBU)
- Trinity College Dublin
- Umeå University
- University of Adelaide
- University of Copenhagen
- University of Southern Denmark
- Wageningen University and Research Center
- ; Brunel University London
- ; Cranfield University
- ; Durham University
- ; Loughborough University
- ; Max Planck Institute for Psycholinguistics
- ; Queen Mary University of London
- ; Swansea University
- ; UWE, Bristol
- ; University of Aarhus
- ; University of Birmingham
- ; University of Copenhagen
- ; University of Greenwich
- ; University of Reading
- ; University of Southampton
- ; University of Strathclyde
- ; University of Sussex
- Aarhus University
- Ariel University
- Arizona State University
- Blekinge Institute of Technology
- Brookhaven Lab
- Canadian Association for Neuroscience
- Copenhagen Business School , CBS
- Hannover Medical School •
- Harper Adams University
- ICN2
- Institut Pasteur
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- McGill University
- Murdoch University
- Mälardalen University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Newcastle University
- Norwegian Meteorological Institute
- Purdue University
- Queensland University of Technology
- Radboud University
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- The University of Chicago
- 90 more »
- « less
-
Field
-
modalities and populations. This project (SpyGlass) will investigate machine learning methods, particularly generative and foundation models, to discover robust correlation structures in cross-modal datasets
-
machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
-
optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
-
control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
-
for anomaly Detection and diagnostics: Leveraging state-of-the-art machine learning and deep learning models for automated fault detection, classification, and time-till-failure prediction. This will involve
-
are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of offshore wind foundations through graph-based machine learning. Our goal is to perform full-structure
-
learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
-
: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
-
. when do we stop modelling? How do we track / score the quality of the model? What is the required level of quality over time? How can quality be brought to the required level? Can Machine Learning, Large
-
– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1