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the aim of identifying relevant topological invariants to characterize the underlying dynamics and guide the selection of appropriate reduced models. - Adapt and implement existing topological tools
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/Qualifications • PhD in microbiology, molecular biology, or related field • Strong experience in bacteriology and molecular mechanisms of pathogenesis • Previous experience with insect models and host
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more efficient, dynamic, and autonomous. Conduct research and development activities in the field of network modeling and optimization. ACTIVITIES: 1/ Research in optimization and networks
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of the yeast Saccharomyces cerevisiae model and human cells to study transcriptional and TCR activities of transposed Mediator variants using genomic approaches. A bioinformatic analysis of NGS data will help
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or equivalent Skills/Qualifications required diploma: PhD in evolutionary genetics and/or evolutionary epidemiology - expertise in the modeling of evolutionary and demographic biological processes - expertise in
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) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack
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the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Level and duration: PhD. Salary depends on experience
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time post-doc position starting in November-December 2025 in the A*MIDEX Chaire d'Excellence-funded project “Nonstationary Models of Biological Signals” (NOMOS), Principal Investigator Prof. Anna Dudek
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chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling
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of PhD students and post-docs working on different aspects of seafloor spreading (magmatism, tectonics, hydrothermalism) on a range of time scales, with observational and modeling approaches