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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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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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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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there. USM makes it possible to replace traditional heuristics with AI-based techniques for memory management. The objective of this project is to explore the use of AI within USM and to investigate
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for the automatic characterization of roadside edges. Roadside objects can be small (grass strips) and/or three-dimensional (ditches, hedges) and extend over large areas (landscape scale). The post-doc will be
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will involve the production, purification, and characterization of the receptors of interest, in the presence or absence of their effectors (G protein, β-arrestin). The objective is to determine the
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data to refine objective measures of neural function and improve clinical strategies for hearing aid optimization in this population. References: [1] A. Starr, T. W. Picton, Y. Sininger, L. J. Hood, and
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
its throughput, with the objective of building a novel pipeline suitable for the preclinical evaluation of candidate vaccines. The project will be carried out in close collaboration with the team
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experiments and analysing the results in order to draw up recommendations), 3/ Eye-tracking and insitu evaluation (Using eye-tracking tools to evaluate physical and urban routes, Contributing to the analysis
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, aims to assess the impact of climate change and human activities on water resources in the Mediterranean, particularly in Morocco and Jordan. The objective is to develop innovative water accounting tools