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trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based
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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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experiments on model aeronautical fuels to measure the products formed in this process and will develop analytical methods to monitor the kinetics. Main activities: - Bibliographic research, - experimental
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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
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chloride imaging in cultured hippocampal neurons - Validate 2–3 preselected candidate proteins in vitro and in an in vivo epilepsy model - Neuroscience laboratory - L2 facility, microscopy room Where
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of balancing selection is. In this context, we have launched the BalanSe ANR to better understand the importance of balancing selection in non-model organisms. This project will rely on a combination of
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modeling (Strasbourg) investing the role of sensorimotor beta bursts in predictive processing: align protocols, metadata, and analysis plans; contribute to cross‑species comparative work. * Advance and