Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Leiden University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Erasmus University Rotterdam
- Radboud University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT)
- Eindhoven University of Technology (TU/e)
- Leiden University; Leiden
- Leiden University; today published
- University of Groningen
- University of Twente (UT); Enschede
- Amsterdam UMC
- Amsterdam UMC; today published
- CWI
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); yesterday published
- Radix Trading LLC
- University Medical Centre Groningen (UMCG)
- University Medical Centre Groningen (UMCG); Groningen
- University of Amsterdam (UvA); yesterday published
- University of Twente
- 14 more »
- « less
-
Field
-
crucial; Design interventions to reduce bias and improve fairness and safety in human-AI interaction. The research will combine computational modeling (e.g., NLP, machine learning, deep learning) with human
-
emotion safety is crucial; Design interventions to reduce bias and improve fairness and safety in human-AI interaction. The research will combine computational modeling (e.g., NLP, machine learning, deep
-
language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University of Amsterdam is looking for PhD candidates to join our research team and contribute
-
are looking for a candidate who is eager to learn to research how organisations and businesses can be key drivers of social change, and we welcome applications from a wide variety of backgrounds and
-
Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
-
of interior spaces; and to develop a computer vision and deep/reinforcement learning approaches to combine and integrate imagery from the UAV, but also satellite imagery or data from other environmental sensors
-
enhance real-time decision-making in road traffic management. The project aims to bridge the gap between recent advances in AI and machine learning, in particular, multimodal and instruction-tuned
-
develop a computer vision and deep/reinforcement learning approaches to combine and integrate imagery from the UAV, but also satellite imagery or data from other environmental sensors. Besides this, you
-
demonstrated passion for and experience in academic research, along with a learning orientation, perseverance, and a collaborative attitude. We are recruiting for a four-year, fully funded open PhD position
-
this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning