Sort by
Refine Your Search
-
policies. The University of Luxembourg aims to play a key role in this public-facing co-productive knowledge landscape. This position will contribute to the development of digital and face-to-face methods
-
various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
-
various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
-
Research axis of the 3IA: AI for Computional Biology and Bio-inspired AI The laboratory Benoît Miramond is Full Professor in Electrical Engineering at LEAT laboratory from University Côte d’Azur
-
Exploit an existing clinical database containing numerous follow-up FDG/PET exams o Develop modeling methods for the time-series analysis of PET-CT data o Develop a methodological formalism for integrating
-
Calatroni, and Laure Blanc-F´eraud. Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers. In Scale Space and Variational Methods in Computer Vision, pages 498–510, Cham
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
Enthusiasm for applying advanced data science methods including AI-based approaches to environmental challenges and scientific evidence synthesis Technical Skills: Extensive experience in managing and
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
, or examples, these aspects are of utmost importance and need to be explored to provide convincing and well-grounded arguments [1]. This PhD program will propose to explore advanced methods to detect implicit