114 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Luxembourg
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collaborative atmosphere (2 Prof., 6 PostDocs, 12 PhD students, 3 Research assistants). SpaceR’s state-of-the-art facilities include two physical laboratories, the LunaLab and Zero-G Lab, and a new Space Robotic
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In 2023, the University launched four bachelor programmes in specialized nursing sciences in the fields of surgery, anaesthesia/resuscitation, paediatrics, and mental health. A fifth programme
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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
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European funding Represent the University of Luxembourg in international research forums, fostering collaboration and visibility Mentor PhD students and student assistants working on related topics
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to the project Provide assistance in organizational matters related to the project PCS-Graphs Since autonomous robots need to operate in complex and ever-changing environments for long periods, they must
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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
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expected to support the coordination and management of collaborative research projects, including task planning, partner interaction, and reporting activities. You will also assist in the co-supervision and
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platforms Adapting and applying traditional software engineering principles to quantum computing platforms PhD Student Role: Under the direction of a professor, the candidate will carry out research
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. The objective is to develop an AI-powered mentorship tool to help entrepreneurs set up and optimise their fundraising campaigns. Using extensive public crowdfunding data, the tool will provide personalised, data
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods