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implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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of the M3i unit UPR9022 at IBMC, “Models of innate immunity in insects” at the Institute of Molecular and Cellular Biology (IBMC). Our team studies the molecular basis underlying interactions between
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
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of numerical ice shelf models has recently been developed to study, among other things, the realistic behaviour of the dynamics of a floe assembly, based on a granular approach. The purpose
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is to provide the most **informative** samples (not just the most probable) to facilitate identification and enhance user experience. - **Theoretical Model Improvement:** Understanding a sample's
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these results to initiate a model assessing the potential impacts of the mussel on the functioning of Lake Geneva. Most of the project team is based in Thonon-les-Bains at INRAe's hydrobiological station. The PhD
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the TRACCS research program (Transforming Climate Modeling for Climate Services, https://climeri-france.fr/pepr-traccs/ ), which brings together the French climate modeling community. Its activities cover
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candidate will be responsible for analyzing and modeling rich and complex datasets from large-scale electrophysiological recordings (Neuropixels probes) in multiple regions of the frontal cortex and striatum
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element of embedded intelligence lies in the sensor's ability to self-calibrate and, in particular, to adapt its responses and models according to sensor aging and the (sometimes significant) variability