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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Design and develop ALD thin film coatings
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Fixed term contract | Belval |24 Months Are you passionate about research? So are we! Come and join us The European Space Resources Innovation Centre (ESRIC) is a joint initiative of the Luxembourg
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synaptic and circuit mechanisms in the developing hippocampus. Key responsibilities include designing and conducting experiments, analyzing and interpreting data, contributing to manuscripts and grant
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the Department of Physics) will be developed. The tasks comprise the development of a laboratory campaign of carbon capture on concrete, the development of a reused-concrete durability model, and the design of
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and Trust at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Europe
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for each field (*except for R26-03) R26-03 Battery Materials and Characterization (*several positions available) R26-04 Advanced Superconducting Wire R26-05 Designing and Exploration of Electro-ceramics
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
photoelectrochemical applications. The project targets the synthesis of metal oxide-based thin film materials, with a strong emphasis on process design, optimization, and integration through the coupling
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reproductive sciences and are expected to show clear evidence of innovation and excellence in their fields. Investigators with a research program involving the use of lab space will have their primary
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detection, and uncertainty assessment Design and evaluate robust data pipelines for industrial monitoring systems Participate in project meetings, workshops, and collaboration activities within the GreenFab
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation