127 evolution "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Luxembourg
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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design
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Applications are invited for a doctoral position at the Institute for Lifespan Development, Family and Culture at the University of Luxembourg. The position is part of an international research
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, economics, and other fields, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups
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satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https://wwwen.uni.lu/snt/research
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to apply analytical and writing skills to studies in development, spatial, and environmental economics. LISER particularly encourage female applicants to apply What we offer A dynamic and international
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students. General information: Contract Type: Fixed Term Contract 12 Month Work Hours: Full Time 40.0 Hours per Week Location: Weicker Building Internal Title: Research and development specialist Job
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solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? As part of a major European
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agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design and evaluation of methods that leverage
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research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence for the Generative AI Era (BRIDGE) — exploring
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computer vision, NLP, and other AI domains to biological problems Build computational frameworks that integrate multi-scale immune data for digital twin development Implement rigorous model validation