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signalling center origins - To work on the molecular profiling of tissues and cells from human stem cell-derived brain models - To develop molecular insights about key morphogenic pathways responsible
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Characterize them using biochemical, biophysical, and structural tools Develop reaction assays to confirm and quantify enzymatic activity Analyze the data obtained to elucidate reaction mechanisms Present and
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Ecole Polytechnique and CNRS, hosted by the Center for Applied Mathematics (CMAP) of Ecole Polytechnique. The Platon project-team focuses on developing innovative methods and algorithms for uncertainty
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
distribution. The work also aims to improve inference efficiency by reducing dimensionality, reusing computations, and combining multiple measurements. The PhD candidate will develop, test and validate
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additional documents required by Doctoral School 60 (Territories, Time, Societies and Development): ranking in Master’s Year 2 (semester 1) / number of students, ranking in Master’s Year 1 / number of students
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, livestock, crop monitoring, etc.) [1]. Despite a lot of progress, the value of this large quantity of data remains complex to develop, often not well automatized and underexploited. This data suffers from a
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of the specificity of the interaction site toward different types of quinones with varying structures and redox potentials, in connection with the evolution of bioenergetic mechanisms. The proposed project is
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engineering models for large-scale quantum computers. The aim is for this thesis to develop fundamental expertise in quantum physics and computing, and then share it with other teams in the Q-loop project, so
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'Catalysis for Energy Transition' (CATREN) and is led by Dorothée Laurenti and Laurent Piccolo. This thesis project focuses on the development of catalysts for the hydrogenation of CO/CO₂ into methanol, and
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boundary layer. The candidate will first deploy a multivariate emulator of key variables governing Arctic sea ice dynamics, trained on high-fidelity simulations developed at IGE. This emulator will be