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, the CSATLab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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materials on textiles. Develop and optimize plasma deposition processes for tailoring material properties for specific textile functionalities (antibiofilm, repellence, adhesion). Characterize the deposited
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contributions are: Conduct applied research on atmospheric pressure plasma deposition of functional materials on textiles. Develop and optimize plasma deposition processes for tailoring material properties
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The FACTS project is a successfully funded applied research project developing a new generation of compact, fast thermal sensing devices for demanding industrial and research environments. The work
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in microbiome and bioinformatics Develop scientific methodology and techniques adapted to the research project Present research work in leading international conferences Key Skills, Experience and
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their results on advanced equipment. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate should develop the following tasks:
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also supports the development of AI-enabled network orchestration, as well as digital-twin-assisted planning for future IoT and 6G systems. You will be mainly in charge of: • Contributing to the design
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on Li-ion microbatteries. The project is part of a large R&D framework between Goodyear company and LIST including one topic dealing with the development of “smart tires”. In this general context
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between Goodyear company and LIST including one topic dealing with the development of “smart tires”. In this general context, the main objective of the project in which the postdoctoral candidate will be