Sort by
Refine Your Search
-
We invite applications for a postdoctoral researcher to join the UMLFF project at the University of Luxembourg. The project aims to develop the next generation of uncertainty-aware machine-learning
-
Research assistant). SpaceR’s state-of-the-art facilities include two physical laboratories, the LunaLab and Zero-G Lab, and a new Space Manipulation Lab – dedicated environments for researchers to test
-
disease modeling. The group employs methodologies from different areas of mathematics, engineering, and physics, and integrates multiple sources of biological information to study biological processes
-
technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring
-
character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
-
members fostering a collaborative atmosphere (2 Professors, 4 PostDocs RA, 15 PhD students, 1 Research assistant). SpaceR's state-of-the-art facilities include two physical laboratories, the LunaLab and
-
, and physics, and integrates multiple sources of biological information to study biological processes at different levels of organization. For more information, please visit the group's website. Your
-
character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
-
-of-the-art facilities include two physical laboratories, the LunaLab and Zero-G Lab, and a new Robotic Manipulation Lab – dedicated environments for researchers to test their results on advanced equipment
-
of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large