166 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at CNRS
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, statistics, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology
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of the ANR ERMONES project. He/she will hold a PhD in Polymer Science. Team 1, entitled “Catalysis and Polymerization Engineering,” is led by Frédéric Peruch. The team develops alternative strategies
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Additional Information Eligibility criteria Knowledge PhD in biochemistry and/or chemistry; knowledge of lipids is a plus; basic knowledge of mathematics, physics, and data analysis. Use of mass
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will apply genomic, phylogenetic and biochemical analyses to investigate the composition of kinetochores and locations of centromeres in insects species. International lab UMR3664 Team : Evolution
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Academic: PhD in applied mathematics, computer science, or medical physics. Scientific interests: applied mathematics
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using an organometallic surface chemistry approach on various silica supports. Once these catalysts have been prepared, their catalytic performance in H/D isotope exchange reactions will be studied
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transient motions at the top of Earth's core. The benchmark will be the subject of an international call to candidate models. It will lead to an evaluation of the various methods when applied to synthetic
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Eligibility criteria PhD in Mathematics. Candidates with expertise in one of the following research areas are encouraged to apply: - Complex foliations; - Birational geometry; - Qualitative theory of real
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3 Oct 2025 Job Information Organisation/Company CNRS Department Joint Robotics Laboratory Research Field Engineering Computer science Mathematics Researcher Profile Recognised Researcher (R2
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Additional Information Eligibility criteria The candidate should have a PhD in Biology/Evolutionary Biology and skills in bioinformatics and macroevolution (ideally models of phenotypic evolution