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optimizing the exploitation of data (planets, disks) from public catalogues and our observation programmes, and by adopting a statistical approach. Our COBREX team is interested in 1/ the detection and orbital
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mechanisms engaged when deciding to transmit information in social networks. Candidates must have (or nearing completion of) a PhD degree in neuroscience, social psychology, behavioral economics, computational
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or statistics, are notoriously hard to train, and show limited long term generation stability. In this postdoc we will study the role of generative AI techniques in solving the unanswered problems of scarcity
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screening (mainly Chlorella species). Then, you will build upon a previous PhD student's success who engineered one of the most productive lutein production processes to date (microalgae fermentation). This
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expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience
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statistically significant results on ferroelectric capacitor performance. The post-doctoral research will give a better understanding of the influence of dopants on local chemistry, electronic structure, phase
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in