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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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(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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through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description In connection with the objectives of the HorsePower
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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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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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, hydrodynamics, and information processing. This project aims to discover how fish use hydrodynamic traces left in the wake of other fish to guide their movement decisions in search and navigation tasks
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Main Project Objective: Identify the most influential samples in a dataset, particularly
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interactions to model and find answers on how new applied mathematical approaches could help in the fields of modelling and analysing urban territorial transformations based on three guiding principles: 1
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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