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working experience and training/habilitation in animal experimentation (mandatory). A PhD level, preferably without former postdoctoral experience or research compatible training such as engineer schools. A
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interested in nonlinear dynamics, stochastic processes and the emergence of collective behavior. The theoretical work will remain closely connected to quantitative experiments and experimentally measurable
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Plasmodium genomic data analysis; see https://mrc-ide.github.io/PGEforge/. Data partitioning: The 24,409 analysis-ready samples will be extracted and partitioned into subsets by country (since this is the most
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research experience like engineering/biotech schools e.g.. Experience with recombinant antibodies or mRNA-LNP technologies. A former working experience and training in animal experimentation (mandatory). A
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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated
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parameters using experimental muscle and neural recordings Explore motor control policies that replicate observed behaviours Test simulation predictions against muscle ablation experiments Investigate how