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previously unknown gene functions. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary
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temperature and water vapor profiles, or surface temperature. We search for the solution of an inverse problem, and we want to use a neural network model for this task. Our group has been using this type
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will consist in creating phonetic categories from neural networks; more precisely, from SSL learning, we will seek to improve the models trained on an initial data set. we will collect these categories
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AI and neural-network based reconstruction methods. The LHCb electromagnetic calorimeter (ECAL) is a critical element of the LHCb experiment, enabling the reconstruction of electrons and photons
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well as the design of its future upgrade. The group is also actively working on LHCb's real-time analysis system and have a large interest in AI and neural-network based reconstruction methods. The LHCb
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Description Applications are invited for a postdoctoral position to study the neurocomputational mechanisms of information propagation in social networks. The Neuroeconomics group of Dr Jean-Claude Dreher