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vivo cancer models. The candidate will be expected to: Determine the effects of the identified VFs using various in vitro and in vivo assays and investigate the underlying mechanisms Contribute
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and spatiotemporal scales, i.e., new forms of real-time automation of intelligent active grids including grid-forming converters, using distributed control and artificial intelligence (AI) based
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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of Biochemistry, Molecular/Cell Biology, and/or BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset
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highly qualified talent. 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
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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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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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” approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving
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cutting-edge characterization techniques (transmission electron microscopy (TEM), atomic force microscopy (AFM), x-ray photoelectron spectrometry (XPS), secondary ion mass spectrometry (SIMS)...). Based
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education settings. Insights gained from this research will contribute to the continuous and reflective development of pedagogical practices, providing evidence-based guidance for institutions and supporting