7 image-processing-and-machine-learning-"RMIT-University" Postdoctoral positions at CNRS in France
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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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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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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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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
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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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an expert on every subject, but be ready to learn on all aspect of the project. It is essential to have published scientific paper to apply. The candidate must have a strong appetite for experimental work
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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