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scale-up - Physicochemical characterization of the encapsulation matrices - Evaluation of the method on the vaccines' biophysical attributes - Interaction with national and international partners - Data
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. Activities: Development of mathematical models. Development of probabilistic inference algorithms. Code implementation, with a particular focus in Julia. Method validation. Application of models on curated
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of atomristors. This project aims to develop methods for the controlled creation of defects smaller than 10 nm in order to manipulate the density of states of 2D materials. Advances in the fundamental
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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the basic methods of observational cosmology. Experience in observational data analysis and computer programming skills are essential. This position is reserved for candidates with less than two years
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will particularly focus on the proposition and development of stiffness modulation methods inside vine growing robots, as well as on the creation of a large working channel for patient ventilation and
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. The project proposes an innovative approach to model sea ice dynamics from the ice floe scale to the basin scale, leveraging hybrid data assimilation and machine learning methods to shape a physically robust
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biochemistry, structural biology, proteomics, novel detection and screening methods and pre-clinical models for wound healing and regenerative medicine applications. REMOD-HEALING is a Doctoral Network funded by