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date of employment : 12/01/2026 Proportion of work : full time Workplace : GMGM UMR 7156 Desired level of education : PhD Experience required : no lower limit, but no more than 2 years after the PhD
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the field of medieval Latin lexicography, this family has been little studied and has never been fully edited. With few exceptions, recent work in the field, when it devotes a few lines to the early Latin
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facilities and benefits from first-class technical support. The IPGP provides its students with geosciences training that combine observation, quantitative analysis and modelling, and that reflects the quality
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). • Carry out acquisition, processing, and analysis of behavioral, EEG, and fMRI data. • Ensure ethical compliance of experimental activities and guarantee adherence to consent and confidentiality procedures
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 4 days ago
have access to major national HPC facilities (Grid5000, Jean Zay, GENCI allocations), including large-scale GPU resources. Biomolecular function is driven by both structure and dynamics. Understanding
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such an environment and using this information in control algorithms to ensure robust navigation. This project is funded by the Hauts-de-France Region. Mission The recruited person ensures research work. She will be in
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analysis and interpretation - Presentations at meetings and conferences - Writing reports and scientific papers The research project will be carried out at the Institut de Minéralogie, de Physique des
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determination and fragmentation analysis. Ability to work independently and in a team, good organizational skills, and motivation to conduct innovative research projects. Excellent command of scientific English
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presentations. • Proficiency in data analysis and scientific programming (Python or similar). • Excellent organizational, communication, and interpersonal skills. • Self-motivated with the ability to work
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-read whole-genome sequencing data. Genome of Europe will operate in a federated analysis paradigm, with raw-datasets being held separately in different member states, hence the central opportunity