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obtained by MOCVD deposition. A PhD student at LMGP is currently developing and optimizing the operating conditions to control nanowire geometry, network density and connectivity, and coverage. The recruited
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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rechargeable batteries. In this context, one of the challenges involves optimizing the electrolyte, which determines the stability of the metallic anode, the electrochemical window, and interfacial processes
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to optimize their durability and efficiency under industrial conditions. The goal is to contribute to a sustainable energy storage solution while avoiding the use of expensive metals. The postdoctoral
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. The project will involve: • Synthesis and characterization of proton-conducting ceramic materials and composite electrodes. • Development and optimization of acid-base infiltration protocols for surface
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of these tools and will be expected to introduce their own modifications in order to adapt and optimize the analysis for the study at hand. Other tasks include: * Optimizing the experimental setup (4D observations
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FieldMathematicsYears of Research Experience1 - 4 Research FieldHistory » History of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in computer science or applied mathematics
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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et
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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