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advanced experiments. The aim is to deepen our physical understanding of flame stabilization in modular, multi-regime injectors and to generate high-quality data for the development and validation
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concerns different time scales, as student projects can last from a few days to several months, as well as the group size, ranging from pairs to more than a dozen learners working on the same project. A
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of gains and losses of the motif sequence found at chromosome breakpoints using our collection of well-assembled genomes at different evolutionary scales (haplotypes, strains, and species) via bioinformatic
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thirst for knowledge, a certain independence of thought and strong motivation to develop skills in the field of accelerator physics. In addition, the candidate must be able to work in a team on multi
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groups, each of which proposes a multi-disciplinary approach, at the frontiers of biology, physics and chemistry, in coherence with 3 research axes. Nearly 320 people work at IBS as researchers, PhD
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communications. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms
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the next generation of sustainable energy solutions in industry and academia. At once, the project will pave the way for large-scale adoption of renewable synthetic fuels, enabling a climate-neutral economy
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ready to drive the next generation of sustainable energy solutions in industry and academia. At once, the project will pave the way for large-scale adoption of renewable synthetic fuels, enabling a
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | about 1 month ago
such as molecular biology, flow or spectral cytometry, immuno-histochemistry, inflammatory signaling pathways, cell culture, imaging, and multi-omics analysis. Knowledge of environmental exposures and their
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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