31 web-programmer-developer-"St"-"Washington-University-in-St"-"St" 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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(printed circuit board). The challenge of this research is to both develop thin coatings deposition and identify their physico-chemical structure at the interfacial region, requiring the use of complementary
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collaboration, LIST and an industrial partner are willing to develop innovative electroplated copper-based composites reinforced with metallic/ceramic and Carbon nanostructures. The aim is to significantly
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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
combination of plasma diagnostics (e.g. OES) and surface characterization techniques (FTIR, SIMS, XPS), the project seeks to develop a scientifically grounded, scalable plasma treatment process. The outcome
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. Activities of the successful candidate: Conduct extensive background literature analysis. Plan and organise experiments to define and test hypotheses and develop forefront research. Publish the results
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on the fast-developing expertise in multi-disciplinary forest research in Luxembourg, LIST, in collaboration with the University of Luxembourg and the Luxembourg Institute of Socio-Economic Research, has formed
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and controlling the pre-cure state · Development and validate the AFP process using the produced tape · Investigate and validate an innovative assembly approach of the two sub
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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