Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
) •Ref: 25-12•Fixed-term working contract at LISER for 36 months (extendable up to 48 months maximum)•Full-time, 40 hours/week •Department: Urban Development and Mobility (UDM)•Registration in the PhD
-
Temporary contract | 36 months | Belvaux 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
-
simulator studies. · Writing of research papers and publication of peer-reviewed journal articles. · Write a PhD thesis in the field of computer science and human-factors related topics
-
papers and publication of peer-reviewed journal articles. · Write a PhD thesis in the field of computer science and human-factors related topics · Take part in PhD and research training
-
Temporary contract | 36 months | Belvaux 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
-
I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a PhD candidate in artificial intelligence and
-
Engineering (DSSE) at the University of Luxembourg, which will be responsible for awarding the PhD degree. A co-supervision from the University of Lorraine (Laboratoire Interdisciplinaire des Environnements
-
website: https://wwwen.uni.lu/snt/research/finatrax/projects. The Ph.D. candidate will focus on information systems within computer science and engineering while collaborating with Luxembourg’s Ministry for
-
activities and promotes active contributions to international standardisation efforts. As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected
-
activities and promotes active contributions to international standardisation efforts. As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected