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Field
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, numerical weather prediction, regional climate modeling, computational fluid dynamics, computer programming, high performance computing, data analysis, and technical writing; ability to work and communicate
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the perspective of numerical analysis and computational mathematics. The overarching aim of the project is to develop new mathematical theory and algorithms to identify, quantify and, where possible, mitigate
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human, animal, and environmental microbiomes. This role involves genome sequencing and phenotyping of novel isolates, metabolite extraction and preparation for LC-MS/MS analysis, and validation
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each of these techniques if necessary. The candidate will also assist with participant recruitment and data analysis. The candidate will have the opportunity to become an integral part of an active and
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infrastructure, a high level of technical expertise, and numerous opportunities for interdisciplinary collaboration. For further information please visit: http://ibv.unice.fr/ Where to apply Website https
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an assistant and the coordinator. The researcher will be tasked with finalizing the protein analysis conducted as part of the Biosexfly regional project by the INRAE Nouzilly proteomics platform. These analyses
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: - Stress-related microfluidic experiments on yeast. - Experimental validation of a numerical ODE model of yeast behavior and its correction. - Qualitative analysis of the model and its bifurcations in
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environmental conditions. The activities you will be responsible for combine numerical modelling with the analysis of field data from both structural measurements (e.g. vibration, displacement and strain data
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to explore systems in which light (near-infrared) and acoustic phonons (20–300 GHz) can be confined simultaneously. Numerical simulation and optimization of acoustic and optical resonators Design and
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for fluid dynamics, mixing, and reaction kinetics in the CSTR. Implement advanced numerical schemes and perform high-resolution CFD simulations of two-phase flow. Optimize impeller geometry and reactor design