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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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properties (size, codon bias, etc.) - Test gene emergence by fusion/fission: trace the history of domain architectures and distinguish mosaics arising from ancestral modules or those introduced by HGT
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European project (IsoPROPEL) in close collaboration with Forschungszentrum Jülich (Germany) for cell design and catalytic testing and ITQ Valencia (Spain) for the synthesis of catalysts. The overall goal
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analysis and software skills (python and astropy) • teamwork abilities • fluent in English • Experience in data analysis in a neutrino experiment and in astronomy analysis in X-ray/gamma-ray observatories
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be to make explicit selections of the best astrometric sources and test their efficiency in real VLBI analysis. Following our preliminary tests, the selection of adapted sources could improve by a
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performance. A key objective is to examine how different KG embedding techniques can facilitate complex query answering. These techniques vary in their representation spaces and in how they define relational
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interventions, creating environmentally sustainable devices, and developing simulators to reduce reliance on in vivo testing. The training network is interdisciplinary, integrating various fields such as
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. The doctoral project will focus on three main research axes: 1. Evaluate and improve ice sheet models: propose original analyses to test model robustness, for example by studying the spread of results from
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the modification profiles of host tRNAs and rRNAs. To test this hypothesis, rRNA and tRNA will be purified from infected cells and analyzed by dRNA-seq to track changes in expression and modification profiles
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software and models will be developed for data processing and analysis. Finally, the instrument capabilities will be evaluated using protocols and reference samples previously developed for this purpose in