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Pasteur center, in Paris (France). We are seeking an outstanding, highly motivated advanced scientist in molecular biology and neuroscience for projects on gene regulation and gene regulatory networks with
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road networks, while continuing the work on similarity calculations between these areas; Collaborating with a research engineer to implement the software tools supporting the entire approach, and to
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optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical
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of the Beeterface software to annotate videos and automatically extract typical behaviors through supervised and unsupervised learning. 3. Statistical analysis of trajectories and spatial organization: Modeling
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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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(from clinical or environmental use cases) Application of improved workflows in field studies These tasks will be carried out within the Marie Skłodowska-Curie Doctoral network METAMIC 3 - Metaproteome
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
. This dataset will enable the training of specialized deep learning models (neural network or transformer) for automated segmentation of tibial plateau fractures. iii) The algorithm must then be trained
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Marie Sklodowska-Curie Action (MSCA) Doctoral Networks
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role in intracellular transport. As such, they play an important role in nuclear positioning. Our team is studying, in a developmental context, how multiple microtubule networks cooperate to position
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: Neuroscience Project Summary This project proposes to explore how to equip artificial neural networks with the ability to efficiently unlearn, by applying neuroscientific insights from the same ability of mammal