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, scRNA-sequencing, bioinformatics, qRT-PCR, Immunoblotting, proteomics and metabolomics, and Immunocytofluorescence, 3D-imaging (micro-CT and light sheet), primary cell isolation and culture, cell energy
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computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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of storage technologies, which rely on either high-pressure compression or cryogenic liquefaction-both of which are energy-intensive, costly, and pose significant safety risks. Rux Energy (Rux) is addressing
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for decarbonising hard-to-abate sectors. Currently the large-scale deployment of hydrogen remains constrained by the limitations of storage technologies, which rely on either high-pressure compression or cryogenic