Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- Forschungszentrum Jülich
- DAAD
- CNRS
- Cranfield University
- University of Luxembourg
- Technical University of Munich
- Delft University of Technology (TU Delft)
- Leiden University
- Eindhoven University of Technology (TU/e)
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft); yesterday published
- Radboud University
- Susquehanna International Group
- Tallinn University of Technology
- University of Southern Denmark
- ; City St George’s, University of London
- Delft University of Technology (TU Delft); Delft
- Humboldt-Stiftung Foundation
- Leibniz
- Maastricht University (UM)
- Uppsala universitet
- ; Swansea University
- Curtin University
- ETH Zürich
- Fraunhofer-Gesellschaft
- La Trobe University
- Leiden University; Leiden
- NTNU Norwegian University of Science and Technology
- University of Amsterdam (UvA)
- University of Basel
- University of Bergen
- University of East Anglia
- University of Groningen
- University of Nottingham
- University of Sheffield
- University of Southern Queensland
- VIB
- Vrije Universiteit Brussel
- AMOLF
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Eindhoven University of Technology (TU/e); Eindhoven
- GFZ Helmholtz Centre for Geosciences
- Ghent University
- Graz University of Technology
- ISCTE - Instituto Universitário de Lisboa
- KU LEUVEN
- Leiden University; today published
- Lulea University of Technology
- Maastricht University (UM); Maastricht
- Maastricht University (UM); yesterday published
- Monash University
- Murdoch University
- Mälardalen University
- Norwegian University of Life Sciences (NMBU)
- Umeå University
- Umeå universitet
- Universite de Moncton
- University of Adelaide
- University of Amsterdam (UvA); Amsterdam
- University of Antwerp
- University of Bristol
- University of Copenhagen
- University of Surrey
- University of Twente (UT)
- Université Laval
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- ; Brunel University London
- ; Coventry University Group
- ; Newcastle University
- ; The University of Manchester
- ; University of Exeter
- ; University of Southampton
- Aalborg University
- Aarhus University
- Abertay University
- Agency for Management of University and Research Grants (AGAUR)
- Agricultural university - Plovdiv, Bulgaria
- Ariel University
- Arts et Métiers Institute of Technology (ENSAM)
- BARCELONA SUPERCOMPUTING CENTER
- CISPA Helmholtz Center for Information Security
- COFAC
- CWI
- Centre for Genomic Regulation
- Constructor University Bremen gGmbH
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Ecole Normale Supérieure
- Elestor BV
- Empa
- Erasmus MC (University Medical Center Rotterdam)
- European Magnetism Association EMA
- FCT NOVA - UNIDEMI
- GFZ Helmholtz-Zentrum für Geoforschung
- 89 more »
- « less
-
Field
-
on the electrical machine optimization to achieve high energy-efficient drive system. The practical part of the work will be testing the control model with a prototype machine in the research laboratory. Research
-
identification and machine learning. The key challenge is striking a balance between, on the one hand, modelling the physical, dynamic and nonlinear behavior of the components with sufficient physical accuracy
-
configurations and illumination conditions. Implement and validate device-independent representations. Investigate and apply domain adaptation and transfer learning techniques to develop models that generalize
-
intelligence, NLP, machine learning, or a related field Experience with Python and Generative AI libraries (e.g., Huggingface Transformers) Knowledge of Multimodal Generative AI models and their corresponding
-
combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
-
with profilometry and SEM), for a wider selection of materials than is currently possible. The multi-dimensional nature of the model likely necessitates a machine learning based approach, yet should be
-
of physics into machine learning and deep learning architectures to create accurate, physically consistent, efficient and interpretable/generalizable models. This PhD project will contribute to the development
-
to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
-
, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
-
psychological theory, cultural history, and interdisciplinary research. Good academic writing and communication skills in English. Desirable skills Knowledge of machine learning or advanced NLP techniques (e.g