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is required. Experience in omic approaches,single cell RNA-seq technologies, spatial transcriptomics, spatial proteomics and microscopy would be an asset. Applicants should hold a PhD degree in
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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skills and be rigorous and organized in his/her work. Experience in molecular/cellular biology and murine models is required. Experience in omic approaches,single cell RNA-seq technologies, spatial
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the signals indicating transient but slow deformations (slow earthquakes, co- and post-seismic deformations). 1. Use spatial coherence and advanced methods (PCA...) to separate the numerous low
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The researcher will be in charge of the implementation of geophysical approaches at the Guyaflux site, Paracou, French Guiana, to spatially extrapolate punctual information on soil obtained from conventional
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homologous recombination and its intersection with the spatial organization of chromatin in the nucleus. They use high-throughput genomics approaches in the model organism S. cerevisiae. They are looking for a
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programming (Dash, FLASK, geospatial python package), linux,relational databases/NOSQL Multivariate analysis (PCA, PLS, UMAP, tSNE, DBSCAN) and exploratory spatial data analysis Network and data sciences
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. While processors and network interface cards can be time-multiplexed, RAM is spatially shared. Memory is therefore often the bottleneck when dimensioning and operating data centers. The candidate will
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-processing pipeline for high-field MRI medical data (normalization, denoising, spatial registration) to optimize the quality and consistency of data used in analyses, and to facilitate the search
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resolution Utilize cutting-edge techniques including microelectrode arrays, microfluidics, animal behavior and spatial transcriptomics under infectious conditions Bridge hamster and human biology to find common