Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/ The person will pursue a Ph.D. degree (Doctorate) in computer science and information system
-
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust
-
The Mathematics department at the University of Luxembourg currently has openings for up to 4 PhD positions in the following areas: - Algebraic geometry, - Geometry, - Mathematical aspects of computer
-
Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
-
Leist, with frequent exchange and collaboration with the Luxembourg Centre for Systems Biomedicine and the Luxembourg Institute of Health, notably the group of Prof. Dr. Rejko Krüger. Several national
-
Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with expertise in at least one of the above areas (dependability, real-time systems, operating systems
-
metres, including innovations in all that we do · An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our
-
As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred Design (PCD
-
The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for...
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid