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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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vibrant city, in the heart of the Alps, and Europe's Green Capital 2022; Enjoy a workplace designed to support your quality of life; Benefit from our competitive compensation and allowances package
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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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recruited candidate will contribute their expertise to the initial training of engineering students and master's students by teaching in the following areas: • Bioinformatics, • Machine learning and pattern
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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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. 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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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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include a detailed research plan and a personalized Career Development Plan. If the application is successful, the project will start at the earliest in May 2027. 1 - Background Carbon emission reduction is
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this project, LMFA focuses on global design of the turbomachinery stages. PhD thesis Objectives and Methodology This project is built upon the expertise of the research team (see, e.g. Vienne et al., 2024
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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