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We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a
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29 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Luxembourg
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Luxembourg Application Deadline 26 Aug 2026 - 10:42 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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in the context of the microbiome. Here, using a triptych approach leveraging in silico, in vitro and in vivo methods, we aim to specifically and systematically characterize and validate microbiome
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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
Treatment of surfaces. Good knowledge about Plasma characterisation with state-of-the art methods. Good knowledge about Surface characterisation with state-of-the art methods. Demonstrated experience in
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charge of: Developing surface preparation methods and thin coating deposition methods Characterize thin coatings Manufacture ultra-thin materials assembly and characterize their interface Understand
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. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography
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experimental and numerical approaches. Materials classes of interest include components (monomers, polymers, additives, (nano)particles, etc.) utilized in high-performance polymeric materials with relevance in
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strong background in textiles and understanding of textile functionalization methods. You have excellent communication, collaboration, and interpersonal skills and fluency in English (written and spoken
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state-of-the art methods. Extensive experience in Heterogeneous Catalysis research area as evidenced through peer-reviewed journal publications. Applicants are encouraged to add their three best