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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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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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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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. 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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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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-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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the nature of the ambient noise in the reactor (spectrum, spatial and temporal distributions, levels), the approach consists in developing passive methods by determining their conditions of use but not