Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Technical University of Munich
- KU LEUVEN
- NTNU Norwegian University of Science and Technology
- Aalborg University
- CNRS
- Manchester Metropolitan University
- NTNU - Norwegian University of Science and Technology
- SciLifeLab
- University of Amsterdam (UvA)
- University of Exeter
- Durham University
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- Monash University
- Radboud University
- The University of Newcastle
- University of Nottingham
- AALTO UNIVERSITY
- Fondazione Bruno Kessler
- Hotelschool The Hague
- Leiden University
- Norwegian Institute of Bioeconomy Research
- Tilburg University
- VIB
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- Aalborg Universitet
- Aarhus University
- Adam Mickiewicz University
- Amsterdam UMC
- City St George’s, University of London
- Copenhagen Business School
- Fraunhofer-Gesellschaft
- Hasselt University
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- Heidelberg University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IFIC
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Instituto de Sistemas e Robótica (ISR)
- Karl Landsteiner University of Health Sciences
- Karolinska Institutet, doctoral positions
- King's College London
- King's College London;
- Linköping University
- Maastricht University (UM)
- Manchester Metropolitan University;
- Max Planck Institute for the History of Science •
- Mälardalen University
- Newcastle University
- Norwegian University of Life Sciences (NMBU)
- Radboud University Medical Center (Radboudumc)
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Saarland University
- Sanquin Blood Supply Foundation (Sanquin)
- Silesian University of Technology
- TU Darmstadt
- Technische Universität München
- The University of Manchester
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITAT POMPEU FABRA
- UNIVERSITY OF VIENNA
- University Medical Center Groningen
- University of Bedfordshire
- University of Cambridge;
- University of Copenhagen
- University of Groningen
- University of Melbourne
- University of South-Eastern Norway
- University of Sussex
- University of Vienna
- University of Warwick
- Vrije Universiteit Brussel
- 63 more »
- « less
-
Field
-
. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
-
-modality models Knowledge in deep learning optimization, such pruning and quantization Strong academic writing skill Personal characteristics To complete a doctoral degree (PhD), it is important that you are
-
into the mechanisms governing hydrogen-induced degradation and failure of circular steels. As a PhD researcher, you will: Perform advanced 3D microstructural characterization of circular steels, focusing on segregation
-
experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team
-
are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
-
Join TU Delft and help design hydrogen-resistant steels for a sustainable energy future. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in
-
. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real-world applications. This PhD studentship (scholarship) leverages large-scale Earth Observation data
-
) Recognised Researcher (R2) Positions PhD Positions Application Deadline 28 Sep 2026 - 12:00 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU
-
reliable hydrogen-resistant circular steels. In this role, you will develop fundamental insights into the mechanisms governing hydrogen-induced degradation and failure of circular steels. As a PhD researcher
-
scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and