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1 Sep 2025 Job Information Organisation/Company IFP Energies nouvelles (IFPEN) Research Field Mathematics » Applied mathematics Researcher Profile Recognised Researcher (R2) Positions Postdoc
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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
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chemistries and improve the battery performance and lifetime. In the PEPR Batteries OPENSTORM project, synergies are being sought between existing characterization methods to accelerate the study of future
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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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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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microscopy, confocal microscopy, and SEM tools. The candidate will need to either be trained or already possess skills in mineralogical characterization and the analysis of microbial communities through
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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well as omics data generation and analysis will be considered as important assets Strong drive for experimental work, including the handling of model organisms, and a high curiosity to decipher disease mechanisms
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data to refine objective measures of neural function and improve clinical strategies for hearing aid optimization in this population. References: [1] A. Starr, T. W. Picton, Y. Sininger, L. J. Hood, and