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://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research engineer and 1 assistant. The team is associated with the Institut Pasteur's Computational Biology Department
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neuromorphic computing capabilities The goal is to significantly increase the density of processed information and computational efficiency, while exploiting a spatiotemporal dimensionality for the
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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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realistic membrane environment in multiple redox states, in order to evaluate the thermodynamics of the process. We now intend to further our understanding of how this cytochrome functions by studying
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require a switch to a more sustainable model. Bio-based feedstock is a promising carbon source to substitute petrochemicals, but requires a drastic shift from the current model. While the current paradigm
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, glycogen and future gonads of males and females. The results will allow for a better understanding of the reproductive processes in this insect within the fundamental context of sexual selection. It will
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analysis of biochemical and mechanical processes underlying phagosome maturation and resolution in living cells. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8104-FLONIE-006/Default.aspx
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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
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research unit of CNRS, Grenoble INP, and Université Grenoble Alpes, is a center of excellence in materials science and innovative processes. It spans diverse fields—from metallurgy to nanomaterials and
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carriers such as hydrogen (H₂) are major challenges in the energy transition. Current gas capture and separation processes mainly rely on solid porous materials (zeolites, MOFs, activated carbons) or liquid