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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
to motion and respiration. Over the past years, we led several works in this area. Particularly, we developed several deep learning models for the segmentation of SC lesions either from T2 sagittal MRI
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forecasting models, which usually produce data at hourly time steps. However, certain observations, particularly those from rain radars or satellite imagery, could be leveraged to enrich the outputs
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to develop innovative methods in organic synthesis, polymers, analytical chemistry and molecular modeling, and to apply them to different sub-fields of the discipline (bioorganic chemistry
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causal modeling, representation learning, or mechanistic interpretability is appreciated. The successful candidate should also demonstrate good scientific communication skills and the ability
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the parameterisations of aerosol optical properties in the ALADIN-CLIMAT model. Data exploitation: - Writing scientific articles for publication in high-impact international journals. - Presenting results at project
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, the web AI, and politics. For this position, we seek to develop the análisis of web and social media data using AI methods, as well as investigating AI models themselves. We are looking for candidates with
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regulators sensing A/T nucleotide content of target genes. Specifically, you will be in charge of designing and executing high-throughput screens in cellular models using two independent approaches based
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crosstalk with tumor cells, immune cells and the vasculature. We perform mostly in vivo studies, combining lineage tracing and depletion models, flow cytometry, confocal microscopy and unbiased approaches
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platform integrating the SPARROW accelerator through circuit-level fault injection. The main objectives are: Define a representative fault model for the SPARROW accelerator. Develop methods to instrument the
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charged GAGs which, when combined with collagen, produce an osmotic effect. The fluid-structure interaction will be modelled as a homogenised continuous medium within the framework of poromechanics, while