Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Antwerp
- Ghent University
- KU LEUVEN
- VIB
- Vrije Universiteit Brussel
- Nature Careers
- Vrije Universiteit Brussel (VUB)
- Université libre de Bruxelles (ULB)
- ;
- Flanders Institute for Biotechnology
- Hasselt University
- University of Liège (ULiège)
- Université Catholique de Louvain (UCL)
- Université de Namur
- University of Liège
- University of Namur
- Université Libre de Bruxelles (ULB)
- Université catholique de Louvain - Campus Saint-Louis Bruxelles
- Vlaamse Instelling voor Technologisch Onderzoek
- 9 more »
- « less
-
Field
-
Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In this project, we will focus on increasing validity
-
inverse problems. The team aims at developing Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In
-
mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving
-
at the KU Leuven, within the Biomed lab (https://biomed-kuleuven.web.app/research ) to develop new trustworthy AI algorithms for fracture detection based on novel photon counting CT technology. Particularly
-
neuroscience of object perception in social contexts to complete and publish state-of-the-art research in this domain. Experiments include methods like functional magnetic resonance imaging
-
-594 Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of electrochemical sensors for the detection of PFAS in environmental and food samples PFAS
-
manufacturer. This is the main reason for which a large part of an aircraft’s lifecycle operation cost is spent for inspecting its structural integrity on the ground. On-line detection, autonomous and
-
emulators), including real time or hardware in the loop validation Plan and execute measurement campaigns and lab experiments for key J CROSS use cases, e.g. remote ranging, SAR imaging, object detection, and
-
modelling and vulnerability assessment for satellite communications links Design, implement, and evaluate AI/ML‑based algorithms for real‑time detection, classification, and localization of jamming and
-
/interests: Data analysis, data and signal processing, optimisation, programming & implementation skills. Objectives: To improve state-of-the-art algorithms for feature extraction, anomaly detection, and