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of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large
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., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasets Collaborate closely with
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supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups
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supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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, reinforcement learning, robust or explainable models). • Knowledge of Network Digital Twin concepts. • Experience working with large, real-world datasets and building reproducible pipelines (data quality, missing
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questions related to infrastructure and development, and a thorough knowledge of applied econometrics The candidate should show some acquaintance in managing large datasets and non-traditional data, e.g. GIS
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are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the HybridNetLab , the QCILab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en