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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and
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on seasonal and interannual variation of satellite multi-spectral signatures, LUE, WUE, canopy conductance (gc), and associated forest ecosystem functioning? O2: Integrating multisensor synergy with
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will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with specific focus on cost-effectiveness
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-data integration, data analysis and working with HPC. Scripting and programming experience are essential. · You like working in a team, explaining and presenting research ideas and results
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, mathematics, physics, remote sensing and machine learning. Experience and skills · Strong interest in modelling, model-data integration, and remote sensing data analysis. · Knowledge of programming, remote
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, aerodynamics, structures, and manufacturing to support integrated design and optimization activities within an international consortium. · Contributing to technical reporting, dissemination of results
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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
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processes, · You enjoy both modelling, model-data integration, data analysis and working with HPC. Scripting and programming experience are essential. · You like working in a team, explaining
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Successful candidate will join the Integrative Cell Signalling Group (https://www.uni.lu/lcsb-en/research-groups/integrative-cell-signalling/ ), led by Prof. Alexander Skupin, which focuses