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; apply the developed methodology to complex heterostructures The postdoctoral researcher will be recruited within the Chemical Theory and Modelling team (http://www.quanthic.org ) of the Institute
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modelling of membrane contactors, with the aim of maximising their performance in terms of separation and energy consumption. The project will be carried out at the LRGP (Reactions and Process Engineering
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-level visible laser in double-clad Pr3+-doped fluoride fiber pumped by a GaN diode,” Opt. Lett. 46, 74-77 (2021). This postdoc project focuses on the development of monolithic all-fiber laser systems
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4 Dec 2025 Job Information Organisation/Company CNRS Department Biologie des organismes et écosystèmes aquatiques Research Field Physics Researcher Profile Recognised Researcher (R2) Country France Application Deadline 24 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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to the experimental results obtained. The postdoctoral researcher will be tasked with characterizing a reactive enzyme/substrate interaction model that explains the observed experimental results. He/She will conduct
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, the web AI, and politics. For this position, we seek to develop the análisis of web and social media data using AI methods, as well as investigating AI models themselves. We are looking for candidates with
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Graphab is a graph-based software to model
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. Their tasks will include: 1. Creating an age model for the collected sequences and, based on the results, selecting the sequences to be analysed. 2. Collecting and performing the planned sedimentary geochemical
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, implementation, testing, analysis, and dissemination of results (articles and conferences). The postdoc will work at the Saint Germain des Près site (Université Paris Cité) in the Perception-Action team's offices
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
model, both variational estimators and Monte Carlo samplers have been designed and implemented during the pandemic to estimate the reproduction number of the Covid19. The major bottleneck