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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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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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manner. The model will be deployed over a multi-year period of seven years (2018–present) In this context, and in support of the RIFT project coordinating team based at HSM, your activities will include
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within a Research Infrastructure? No Offer Description We are based in the Grenoble Institute of Neuroscience in France. https://neurosciences.univ-grenoble-alpes.fr/ Despite decades of research
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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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addressed to anna- Your profile A Master's degree in political science or a related field A high level of English (minimum C1) Commitment to a team-based research environment with an ability to work