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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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more (for an overview of these technologies, see http://behaverse.org/ ). Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral
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these ongoing changes in the industrial paradigm (Izoret,2021). Scientific issues Modelling this process on a macroscopic scale is key to controlling it on an industrial scale. However, the design of new
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and in pathological models, we aim to establish direct links between molecular determinants and muscle physiopathology Detailed Description of the Project : Not all muscles in the body are equivalent
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electrochemical mechanisms responsible for this extension remain poorly understood. The objective of this PhD project is therefore to explore and model the interactions between MnO₂ and ionic liquids, combining
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the umbrella term “Generative Artificial Intelligence” (Gen-AI), and are being quickly adopted by the general public, the most notable examples being conversational models such as ChatGPT, text-to-image models
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to benchmark ligand dissociation energies is key to improving computational models and enhancing catalytic efficiency. This PhD project aims to provide fundamental insights into ligand dissociation and catalytic
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-142,143Nd, 176Lu-176Hf and 182Hf-182W isotope systematics, and (3) making numerical models of early Earth evolution that can reproduce and account for newly acquired data together with available data from
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to benchmark ligand dissociation energies is key to improving computational models and enhancing catalytic efficiency. This PhD project aims to provide fundamental insights into ligand dissociation and catalytic
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coding these weights and thus provide a 'neuro-computational' model of human choices updated with invasive electrophysiology and stimulation data. We will focus on a prefronto-insular- circuit as the team