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of the GRISLI model Code programming in Python and Fortran Write scientific articles - good level of English required Analysis of a large set of GRISLI simulations and sensitivity study Presentation of results
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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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ultrahigh-throughput microfluidic screening to optimize mRNA for therapeutic purposes. mRNA libraries will be prepared by randomly combining different 5' and 3' untranslated regions (UTRs) identified
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at Université Côte d'Azur includes 37 research teams and 8 support services. The centre's staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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in the Unit, including i) using AI to strengthen epidemic preparedness, ii) the development of models evaluating how the combination of different surveillance systems (e.g. syndromic and virologic
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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imaging data as well as new paradigms for characterizing mouse social and vocal behaviors. The role of the Postdoctoral fellow She/he will analyze genetic data from different groups of individuals with