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, France) and at the ESRF ID12 beamline (Grenoble, France), under the co-supervision of Prof. Olivier Isnard (Néel Institute) and Dr. Fabrice Wilhelm (ESRF). This PhD project is co-funded by University
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interdisciplinary, and together we contribute to science and society. Your role You will join the recently established Chemical and Molecular Neurobiology group led by Associate Prof. Ivana Nikić-Spiegel at the LCSB
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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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. - Compilation of a curated catalog of archaeal genomes from public data and newly obtained data within the team. - Orthogroup inference, multi-clade pangenome graphs to detect genes with restricted distributions
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information about the position please contact: Prof. Denis SCUTO Your profile Master's degree in Digital History, Data Science, Historical Migration Studies, Digital Humanities, or a related discipline Proven
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on the distribution of m6A in different cellular fractions (nucleus, cytosol, polysomes, untranslated RNA) and in viral particles, in order to link these modifications to translation efficiency, localization, and
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of turbulent flames in distributed combustion regime via a hybrid RANS (Reynolds averaged Navier Stokes approach) / LES (Large Eddy Simulation) formulation (CNRS, ULB) Supervisor: Denis Veynante (CNRS) Where
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to : - characterize and compare the distribution and the speciation of selenium in soils associated to the extremes of transfer factor values, - conduct an in-depth study of Se transfers via monthly monitoring over one
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 18 days ago
is an Inria research team is the domain of distributed systems and software engineering. Spirals aims at introducing more automation in the adaptation mechanisms of software systems, in particular
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parameter space: amount of magnetic torsion in the jets, intensity and distribution of the magnetic field, properties of the surrounding plasma, etc. A more realistic solar wind model will be implemented