12 postdoc-molecular-dynamics-simulation Postdoctoral research jobs at CNRS in France
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. The position will involve the use of molecular tools to generate transgenic parasites, advanced imaging techniques and the implementation of new chemoproteomic protocols. Parasite culture, biochemistry and
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to determine the molecular mechanism facilitating
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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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29 Aug 2025 Job Information Organisation/Company CNRS Department Institut de mathématiques de Jussieu - Paris Rive Gauche Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 18 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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libraries (which will be transcribed into mRNA) using cutting-edge molecular biology methodologies. - Adaptation and use of a microfluidic droplet screening pipeline dedicated to mRNA analysis. The recruited
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The researcher will study the potential of atto-photochemistry on organic or inorganic photoinduced reactions. He or she will use quantum chemistry and molecular dynamics methods to do so. The overall objective is
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more than 300 researchers, engineers, and students working across analytical chemistry, physico‑chemistry, environmental science, and materials science. CAPT combines quantum chemistry, molecular dynamics
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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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investigated. These interface models and characteristics will then be transferred to other researchers for larger-scale modelling (molecular dynamics, finite element modelling of the battery…). The post-doc
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a