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and a postdoctoral fellow to develop vegetation layers and parameterise the fire model for LANDIS-II. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5554-AHMALI-002/Candidater.aspx
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candidate will use the 'Phase_Field' code developed within the GPM UMR 6634 modeling team. - Writing of scientific publications. GPM (Materials Physics Group, UMR CNRS 6634) is organized in 5 departments
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, and postdoctoral researchers) working at the interface of biology and chemistry. With more than 160 publications since 2001, the team is internationally recognized for its contribution to elucidating
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candidate will perform experimental work related to the PUI FITInnovE project “PEPTAFLU.” This postdoctoral project aims to characterize inhibitory peptides developed through engineering using phage display
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pumping Expected skills: - degree in Physics and Master's degree, awarded at the latest by the starting - an excellent academic record and strong motivation - good practical and coding skills, a commitment
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. • Demonstrated skills in bioinformatic and statistical analyses of microbiome and ecological data including sequencing data. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance
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. Activities: Development of mathematical models. Development of probabilistic inference algorithms. Code implementation, with a particular focus in Julia. Method validation. Application of models on curated
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at LTE under the supervision of an assistant astronomer and will also coordinate his/her work with a postdoctoral fellow during part of the thesis. The LTE is a laboratory specialising in the definition
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be linked to other theses and postdoctoral research activities that use the results of this work and will also make contributions, for example on the evaporative response of plants. The regional
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be open, transparent, and merit-based, fully aligned with the Code of Conduct for the Recruitment of Researchers. The selection will be based on the quality of applications and gender balance will also