Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Antwerp
- Carnegie Mellon University
- Delft University of Technology (TU Delft)
- Technical University of Munich
- University of Nottingham
- Aalborg University
- KU LEUVEN
- Monash University
- Aalborg Universitet
- Durham University
- Inria, the French national research institute for the digital sciences
- Leiden University
- SciLifeLab
- The University of Manchester
- Tilburg University
- University of Bedfordshire
- University of Innsbruck
- University of Oslo
- University of Tübingen
- Aarhus University
- Abertay University
- Adam Mickiewicz University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- Fraunhofer-Gesellschaft
- Istituto Italiano di Tecnologia
- Karolinska Institutet, doctoral positions
- LIVERPOOL JOHN MOORES UNIVERSITY
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Linnaeus University
- Ludwig-Maximilians-Universität München •
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Northeastern University
- Saarland University •
- Swinburne University of Technology
- Technical University Of Denmark
- The Open Universiteit (OU)
- The University of Newcastle
- University Medical Center Groningen
- University of Bergen
- University of Plymouth
- University of Twente (UT)
- Wageningen University & Research
- 37 more »
- « less
-
Field
-
experience, deemed equivalent by the GRC (or delegate). The ideal PhD candidate will have: A strong background in machine learning, deep learning, and signal processing Proficiency in Python and machine
-
of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will
-
of three work years of the total term period must be dedicated to doctoral work.) For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
- SIPG LAB/ISR and 1801P.01460.1.04 LARSYS/ISR BASE 2025-2029 – SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: Develop new representations for computer vision and machine learning
-
selection criteria Knowledge/experience with control engineering, information fusion and/or data assimilation, marine technology Knowledge of and hands-on experience with machine learning and/or statistical
-
higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
-
, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation
-
should ideally have experience in: Essential Deep learning and machine learning Computer vision Python programming PyTorch or TensorFlow Strong mathematical and analytical skills Desirable Video
-
learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
-
PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
managerial insights and practical guidelines for practitioners. Take part in the mandatory PhD research education program Conduct independent research and publish the result in recognised scientific journals