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team within the University of Luxembourg aims at: Driving the National Competence Centre activities in Luxembourg to facilitate High-Performance Computing uptake Providing tailored HPC-related training
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while improving productivity, performance portability, scalability and resilience, performance and energy efficiency. The NumPEx Exa-DI project aims to improve and accelerate the development of exascale
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-elemental alloys for hydrogen compression. These alloys have recently shown very interesting performances in this field thanks to their very high chemical versatility. Nevertheless, the compositional space is
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algorithms for molecular graphs, 3D structures, and spectral signals. Train and evaluate multimodal foundation models on high-performance computing clusters (Jean Zay, CRIAN, LPC). Collaborate with domain
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performance. The postdoc will also contribute to scientific dissemination, including publishing in high-impact journals, presenting at international conferences, and participating in project meetings. This role
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-probes, - developing bio-detection methods for biomarkers in fluids, based on the use of bio-receptors (antibodies, DNA probes, etc.) and fluorescence spectroscopy, - improving the biodetection performance
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PicoCal in Run 4 and Run 5 • Compare the PicoCal detector simulated performances with test beam data • Evaluate the performances of the PicoCal detector for future physics measurements • Develop
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. In addition to performing bioinformatic analyses of ongoing projects, the successful candidate will have considerable freedom to develop related research projects according to their interests
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important adaptive pressure for species and is considered one of the structuring components of ecosystem functioning, both through direct predation relationships and through competition between predators
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the existing expertise in Liquid Argon (LAr) neutrino detectors. Within this context, the postdoc position will focus on quantifying key technical requirements to ensure high performance in implementing