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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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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
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to efficiently identify materials with optimal mechanical properties and controlled degradability. The primary task is to develop techniques for synthesizing degradable polymers and copolymers using ring-opening
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optimizations are still needed to adapt the translation of these mRNAs to the cell types of interest. As part of a collaboration with Chantal Pichon's team (University of Orleans), this project aims to use
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proposed for improving the accuracy of medical diagnoses, identifying biomarkers and understanding glioma features in MRI data. The successful candidate will work in particular on : - Development of a pre
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photovoltaics mainly capture light in the visible range, while a non-negligible proportion of radiation is found in the near-infrared (NIR). This program is part of the breakthrough field of colorless
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Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or
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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 This Post-Doctoral position is part of the Interreg
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to optimize patient outcomes. Responsibilities : The selected candidate will have a central role in the implementation of the "EMULATE" project, which aims to: assess the feasibility of generating evidence
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to work with and develop state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. Recruited postdocs will work on one of the new projects starting