26 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at Nature Careers in Luxembourg
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develop cost-effective semiconductor quantum technology for tomorrow’s quantum internet and quantum computers. As a software engineer, you will help us to streamline our diverse efforts on a variety of
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development of a new testing framework focused on multi-agent systems. This framework will complement other AI testing techniques developed at LIST as part of the LIST AI Sandbox and related projects such as
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development of the Luxembourg AI Factory, part of the EU AI Factories initiative aimed at leveraging the supercomputing capacity of the EuroHPC Joint Undertaking to develop trustworthy cutting-edge generative
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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will have the opportunity to investigate innovative solutions using machine learning algorithms and predictive modelling techniques in the context of a collaborative project with Goodyear Luxembourg (one
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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for Ion Nano-Analytics (AINA) group at LIST, a research team specialized in mass spectrometry. AINA combines expertise in instrument development, nano-analytical techniques, and methodological innovation
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will work in the framework of a large research project (EIC Pathfinder Challenge) involving 7 partners across Europe and focusing on the development of standalone a solar-to-X device for the conversion
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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and