81 phd-mathematical-modelling-population-modelling Postdoctoral research jobs at CNRS
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porous media (imbibition, wetting, flow, etc.). The approach will be essentially experimental, combining model debinding tests on various specimens with characterizations. • Determine the main mechanisms
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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
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). The group currently hosts 2 PhD students. The group is publishing about 10 articles a year in high-impact journals (PRL, Nature, Nature Photonics, Nature Physics, Optica, ...): http
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and SQUID), EEG and Eye Tracker data. - Analysis of the data collected, especially MEEG and behaviorals. - Compare the alignment between MEEG data, behavioral data, and acustic and semantic models
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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
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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to the comprehensive analysis of field samples and the mathematical modeling of cellular interactions. LPHI includes four teams working on parasite models (Toxoplasma and Plasmodium), thus offering a stimulating working
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. This production does not involve any catalysts such as light or heat. It is an intrinsic property of the air/water interface, and therefore potentially ubiquitous in the troposphere. This PhD project aims
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, biogeographic, phylogenomic, comparative, time series (community or population) modelling/analyses. • Demonstrated skills in bioinformatic and statistical analyses of microbiome, geochemical and ecological data
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of glioma extension using magnetic resonance spectroscopy in 7T MRI. Part of this project involves the development of MRI image processing tools, the implementation of mathematical models for the analysis