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medicine. The laboratory benefits from a large network of national and international collaborations and access to cutting-edge technological platforms, including advanced microscopy, high-throughput
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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technology is reducing the write current, which is intrinsically linked to the charge-to-spin current conversion ratio (), a key parameter defining the efficiency of SOT materials. The TopMemo project aims
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of nanoparticles represents a versatile and scalable route towards the creation of new functional materials with well-defined structures on the nanoscale. Depending on their shape, surface chemistry, and
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biology, biochemistry, cell biology, and immunology techniques is essential. - Ability to use IT tools and software dedicated to data processing and results presentation. Additional comments none Website
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zero net magnetization. The objective is to understand the interplay between magnetic and structural degrees of freedom gives that give rise to this novel phase, and to explore how the properties can be
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, statistical methods, and modeling software. Excellent written and oral communication skills in English. Knowledge of French or Arabic is desirable. Familiarity with the Mediterranean water context is an asset
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customized programs to account for the specific features of a given statistical study, Select and implement the most appropriate and efficient software tools for the study or project, Contribute
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defined with the successful candidate). Salary level will depend on the experience of the candidate recruited (post-docs who have just completed their thesis are very welcome). It will take place at CEA
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Expertise in one or more core areas of Generative AI, such as Large Language Models (LLMs), Generative Adversarial Networks (GANs), diffusion models, neurosymbolic methods, or other emerging directions within