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of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses
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developing more sustainable catalytic approaches. Special attention will be given to overcoming identified limitations through the design of new catalytic systems based on abundant and non-critical transition
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students working in the fields of industrial economics and innovation, energy economics, and environmental economics. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9217-NADLEV-001/Default.aspx
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. The research carried out at IC2MP is part of a comprehensive eco-design approach (see: https://ic2mp.labo.univ-poitiers.fr/ ) that includes the design and development of active materials for energy conversion
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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platforms (nano-XRF imaging, aging test benches, X-ray microtomography, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5129-MARCLO-108/Candidater.aspx Requirements Research
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Development: Design and maintain open numerical simulation codes to model these systems. - Scientific Collaboration: Collaborate with team members on this project and related research initiatives
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industrial partners. - Construction of electrochemical cells incorporating specially designed magnetic field sources, including quantitative measurement of local magnetic fields. - Implementation of tools
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(study conducted by our collaborators in Marseille). The postdoctoral researcher will participate in the design, execution, and analysis of behavioral experiments in humans. Furthermore, they will develop
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to experimental design, modelling of temporal encoding schemes, and data analysis, within a highly interdisciplinary environment combining optics, photophysics, signal processing and biology. The person will