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21 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
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of gains and losses of the motif sequence found at chromosome breakpoints using our collection of well-assembled genomes at different evolutionary scales (haplotypes, strains, and species) via bioinformatic
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28 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms
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. Delpierre (Univ. Paris-Saclay) and will also be co-supervised by M.-C. Bel-Venner (UCBL) and Vincent Boulanger (ONF). The doctoral student will work within the Quantitative and Evolutionary Ecology
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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components: - operational modal analysis to extract the modes of the probed medium, - algorithmic and experimental developments on the MSE method - and algorithmic and experimental developments on the MFP
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on the aptitude of the candidate(s), the project could be oriented on the instrumentation and the development of signal processing algorithms, time series data processing and modeling, statistical analysis and
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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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" setting [4], where the benchmark is the optimal online algorithm rather than the expected maximum, making the competition more dynamic. - Study settings where multiple items are allocated to buyers, such as
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of main control parameters as well as different patterns and amplitudes of the heat flux on the outer boundary. The candidate will analyze these simulations to establish the dependence of the dynamo regime