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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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work focused on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and
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, clustering analyses, propagating location and other uncertainties...) of mid-ocean ridge catalogs, using standard, Bayesian and machine learning techniques. ⁃ Implement methodologies that improve estimates
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(PROCOP), in collaboration with the University of Technology of Compiègne and Sorbonne University. The recruited PhD candidate will join the Institute of Chemistry and Biology of Membranes and Nano-objects
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of chemobiology, numerous probes have been designed to monitor metabolic processes in biological systems in real time. The vast majority of these are off-on probes detected by imaging, which, when used in vitro
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maximum likelihood and Bayesian inference frameworks. - Data mining in genome databases. - Large-scale phylogeny reconstruction (archaea, bacteria, and eukaryotes). - Implementation of complex sequence
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accelerators. The main objective of the postdoctoral project is the design, optimization, and implementation of compact focusing optics and beam diagnostics tailored to the specific characteristics of electron
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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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project focuses on estimating dead fuel produced by forest dieback. In previous projects, a processing chain using Sentinel-2 data has already been developed (Mouret et al., 2024). The objective here is to
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. Approximately 50% of water pollution is linked to the agricultural sector. The objective is to be able to monitor in real time the concentrations of ammonium ions (NH4+) and nitrates (NO3-), which represent