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biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages skills: fluent command
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-degenerative diseases. Our data comes from large public cohorts as well as local proprietary databases of clinical and preclinical medical images, including Positron Emission Tomography, temporal multi-modal MRI
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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 the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snten
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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
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will be working on developing multi-scale and multi-modal models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data