Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Curtin University
- Linköping University
- Nature Careers
- University of Tübingen
- Cranfield University
- Uppsala universitet
- CWI
- Delft University of Technology (TU Delft); Delft
- Forschungszentrum Jülich
- GFZ Helmholtz Centre for Geosciences
- Norwegian University of Life Sciences (NMBU)
- Swinburne University of Technology
- University of Adelaide
- University of Antwerp
- University of Luxembourg
- University of Nottingham
- ; Brunel University London
- ; City St George’s, University of London
- ; University of Nottingham
- ; University of Warwick
- Aalborg University
- CNRS
- COFAC
- Carnegie Mellon University
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- Drexel University
- Erasmus MC (University Medical Center Rotterdam)
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Imperial College London
- La Trobe University
- Leibniz
- Leiden University
- Leiden University; Leiden
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- McGill University
- Mälardalen University
- National Renewable Energy Laboratory NREL
- Northeastern University
- Queensland University of Technology
- RWTH Aachen University
- Radboud University
- Reykjavik University
- Saarland University •
- Technical University Of Denmark
- Technical University of Munich
- UNIVERSITY OF BUCHAREST
- Umeå University
- University of Amsterdam (UvA); Amsterdam
- University of Bremen •
- University of Cambridge;
- University of Sheffield
- University of Southern Queensland
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Warwick
- Université Laval
- Vrije Universiteit Brussel
- Warsaw University of Technology
- 54 more »
- « less
-
Field
-
at Master’s level in Computer Science, Artificial Intelligence, Machine Learning or Cybersecurity or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in
-
application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems, based at the Department of Computer
-
Learning, or related field Strong programming skills (Python, deep learning frameworks) Experience with computer vision and/or machine learning Excellent English communication skills (written and spoken
-
collection activities. Supervision will be provided by academics from various disciplines specializing in biomechanics, image processing, and computer vision, alongside orthopaedic surgeons and academics.
-
the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
-
laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
-
novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
-
cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning
-
-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put on discovering biophysical
-
validation with end-users. The student will have access to specialised training in quantum security and advanced machine learning. The self-funded nature of the project affords the unique flexibility to pursue