Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Cranfield University
- Technical University of Denmark
- ;
- Chalmers University of Technology
- DAAD
- Technical University of Munich
- SciLifeLab
- Susquehanna International Group
- Ghent University
- Curtin University
- Fraunhofer-Gesellschaft
- University of Groningen
- University of Luxembourg
- University of Southern Denmark
- ; City St George’s, University of London
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; University of Warwick
- CWI
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- Leibniz
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Vrije Universiteit Brussel
- ; University of Nottingham
- University of Adelaide
- University of Antwerp
- University of Southern Queensland
- VIB
- ; Newcastle University
- ; University of Bristol
- ; University of Exeter
- ; University of Surrey
- Abertay University
- Carnegie Mellon University
- Cornell University
- Duke University
- Imperial College London
- La Trobe University
- Lulea University of Technology
- Universite de Moncton
- University of Copenhagen
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Durham University
- ; Loughborough University
- ; University of Birmingham
- ; University of Copenhagen
- ; University of Greenwich
- ; University of Leeds
- ; University of Oxford
- ; University of Reading
- ; University of Southampton
- ; University of Strathclyde
- ; University of Sussex
- AALTO UNIVERSITY
- Aalborg University
- Aarhus University
- Ariel University
- Arizona State University
- Blekinge Institute of Technology
- Brookhaven Lab
- Copenhagen Business School , CBS
- Hannover Medical School •
- Harper Adams University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- ICN2
- Institut Pasteur
- Leiden University
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- McGill University
- Monash University
- Murdoch University
- Mälardalen University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Queensland University of Technology
- Radboud University
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- Technische Universität Berlin •
- The University of Chicago
- Trinity College Dublin
- UiT The Arctic University of Norway
- Umeå University
- University of California Irvine
- University of Lethbridge
- 89 more »
- « less
-
Field
-
. 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
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
-
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
-
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
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
– 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
-
: 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
-
related discipline. Strong background/skills on machine learning, mathematics, probabilistic modelling and optimisation are preferred. To apply please contact the supervisor, Dr Mu - Tingting.Mu
-
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
-
deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature