44 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at University of Luxembourg
Sort by
Refine Your Search
-
Fund (EIF), to promote excellence in pedagogy, support technology-enhanced learning, and catalyze student-centered educational innovation across the institution. The Institute emphasizes students as
-
engine based on reinforcement learning. The developed orchestrator thus consists in interconnecting existing open-sources tools for EASM with an orchestrator to be defined. This requires the definition and
-
with the nano-drones of the University’s SwarmLab The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Prof. Grégoire Danoy. PCOG conducts
-
neuroinflammation, with a focus on chemical biology-based protein engineering, advanced microscopy, and neuroimmune interactions. For more information, please visit our website . As an R&D Specialist in our team, you
-
, the DHML is offering candidates a range of opportunities to access leadership positions, including study programme directors and domain coordinators, according to the needs and development of the medical
-
) 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 of teaching and
-
backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
-
The University of Luxembourg is seeking a dedicated and dynamic Project Officer to join our team at the Faculty of Science, Technology and Medicine (FSTM). This role is pivotal in advancing our
-
on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
-
The ideal candidate applies machine learning and big data techniques to important questions in economics, combining advanced computational methods with sound economic theory to uncover insights