Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Aalborg University
- NTNU - Norwegian University of Science and Technology
- University of Nottingham
- Binghamton University
- Western Norway University of Applied Sciences
- Aalborg Universitet
- Deakin University
- Imperial College London;
- Inria – Bivwac team
- Max Planck Institute for Human Cognitive and Brain Sciences •
- NTNU Norwegian University of Science and Technology
- Newcastle University
- SciLifeLab
- Sveriges Lantbruksuniversitet
- Tallinn University of Technology
- Tampere University
- Technical University of Munich
- University of Amsterdam (UvA)
- University of Birmingham
- University of Cambridge
- University of Exeter
- University of Surrey
- University of Texas at El Paso
- University of Washington
- Université de Liège
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- 17 more »
- « less
-
Field
-
programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and
-
, computer science, computer vision, machine learning, state estimation, perception, sensor fusion, autonomous systems, navigation and control Deep foundation in modern machine learning Solid programming skills in C
-
selection criteria Knowledge and skills in the following areas: Robotics, computer science, computer vision, machine learning, state estimation, perception, sensor fusion, autonomous systems, navigation and
-
supervision signals (e.g., labels in a downstream task or symbolic constraints). You will perform machine learning research, developing a framework for learning interpretable and robust concepts with
-
or research coordinator. Maintains and updates site demographics on computer database; logs forms received and file as appropriate; prepares reports from database to include weekly reports and other reports as
-
(csrankings.org) Home to world-leading research in computer vision, AI, multimodal learning, and robotics You will join a vibrant and tightly knit team of more than 10 other researchers working on a range of
-
collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
-
Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing Assistance in Complex Acoustic
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing
-
different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights