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on representation stability, interpretability, and efficiency.Despite their success, self-supervised approaches and foundation models still lack a thorough theoretical understanding. This project aims to bridge
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ENPC/Leesu is looking for an excellent PhD candidate to work on the monitoring and modelling of emission and fate of biocides in urban runoff under different stormwater management scenarios.Detailed
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allow researchers to study the functional traits of agroecosystems. To support this research, HSM also develops ecohydrological models aimed at tracking and projecting energy and material balances, as
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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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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
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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
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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
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to investigate ecological interactions. • Statistical models: Use GLMMs and null models to assess environmental and temporal effects on microbial and dietary communities. • Identify key species
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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
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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