Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Economics
- Engineering
- Biology
- Medical Sciences
- Mathematics
- Science
- Linguistics
- Materials Science
- Business
- Chemistry
- Social Sciences
- Arts and Literature
- Environment
- Earth Sciences
- Humanities
- Law
- Psychology
- Education
- Physics
- Electrical Engineering
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
Fixed term contract | Belvaux | 12 Months Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
-
Temporary contract | 24 months | Belval Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
-
Fixed term contract | Belvaux | 18 Months Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
-
fully funded PhD position within the LowDataML doctoral network, focusing on developing innovative machine-learning approaches for drug discovery under low-data conditions. LowDataML aims to bridge
-
Robotics, Mechatronics, Mechanical Engineering, CS, Automation, or similar Experience in at least one listed research area Motivation, curiosity, and ability to learn quickly Independence and hands
-
Temporary contract | 24 months | Belval - Luxembourg Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and
-
unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry
-
Are you interested in challenging deep learning at its core? And specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision
-
PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
-
methodologies, including the manipulation and processing of satellite imagery and data from equivalent remote-sensing platforms (e.g., UAVs), as well as the development of machine-learning approaches to enhance