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Field
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multiple tensor modeling: Several data modalities, including invasive (intracardiac electrograms, electroanatomic maps) and noninvasive (ECG, echocardiography), are acquired in the management of persistent
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on baseline patients’ profile. Finally, we aim at enriching spatio-temporal treatment response models accounting for multiple imaging modalities (PET – CT) along with clinical and biological informations
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- Benchmarking model-based and learning-based techniques for LiDAR-camera fusion - Designing new LiDAR-Camera fusion method that focus on the accurate and dense alignment of the two modalities - Adapting
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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organismal properties encoded in the interplay of multiple genes in a network? How does the polymer physics at the level of the DNA affect the identity of a particular cell type? Alternative questions