166 web-programmer-developer "https:" "https:" "https:" "https:" "Newcastle University" positions in Luxembourg
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the HybridNetLab , the QCILab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en
-
that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . The candidate will be funded through an industry partnership with Luxembourgish Leader
-
that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . Successful candidates will perform the following tasks: Conduct cutting-edge research in
-
. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects Successful candidate
-
, and information extraction. The position is linked to the Interdisciplinary Research Group in Sociotechnical Cybersecurity (IRiSC-https://irisc-lab.uni.lu/ ) within the Interdisciplinary Centre
-
technologies that have a positive impact on society. For further details, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/ The candidate will support project partnerships with
-
technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects The successful candidate will pursue a Ph.D. degree (Doctorate) in
-
that positively impact society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/
-
, 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
-
detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs. You will