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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 13 hours ago
applications have been organized in different steps that interact with each other. The classical first step is to describe the application through a model. Through this model, a first process is operated
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progression. This project addresses the challenge of studying early tumorigenesis in pancreatic cancer by developing advanced in vitro models based on human extracellular matrix (ECM), aiming to recreate
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research on microbial mechanisms, microbiome dynamics in various ecosystems, and translational applications in clinical and biotech fields. DCs will benefit from expertise across molecular biology
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Chemistry and Microbiology Cluster (CME Cluster), whose research focuses on understanding the mechanisms (physico-chemical and (micro)biological) at different scales (from the molecule to the ecosystem
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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models is a strong plus Familiarity with super-resolution imaging techniques and/or proteomics workflows is a strong plus Strong computational and organizational skills, with attention to detail High level
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. In particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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and in pathological models, we aim to establish direct links between molecular determinants and muscle physiopathology Detailed Description of the Project : Not all muscles in the body are equivalent