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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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), I³ (Inorganic–Isotopy–Imaging), ECOMES (emerging contaminants, speciation, and omics), Surface and Interface Characterisation, and Microbiological Characterisation. Together they enable an end‑to‑end
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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in
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person will adapt the screening procedure used by the team to mRNA screening. This may require not only adapting the reaction conditions, but also introducing additional chips, and possibly even developing
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of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD in materials science or inorganic chemistry. Prior experience in synthesis under inert atmosphere using
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criteria Level I animal experimentation, expertise in animal surgery, skills in pharmacokinetic analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7275-HELMAR-006/Default.aspx