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the synthesis of phenalenone-based photosensitisers and their coupling to targeting units developed within the consortium. He/she will perform physico-chemical characterization of the photosensitisers, contribute
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) advanced modelling, simulation and optimisation techniques in a complex uncertain environment for the design of a SAACD. The working approach is based on four successive and iterative phases, making it
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integrate the use of Large Language Models (LLMs), LLM agent, Agentic AI models and automated reasoning approaches for the interpretation of complex data, the analysis of experimental protocols, and the
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
of an OpenAI Gymnasium–compatible environment layer (a “Gym-Agro” or ”Gym-PBM abstraction). This layer will expose a standardized API (reset, step, observe, reward, done) to RL agents, manage simulation calls
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/she will also take part to beam test campaigns (CERN, DESY, Mainz, FermiLab or BNL) and will be involved in simulation work (GEANT4) of exclusive processes, such as Deeply Virtual Compton Scattering
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: the originality of the project lies in the articulation of theoretical and empirical approaches, and in the design of multi-attribute incentive devices to improve the mobility of agents based on their situation