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within a Research Infrastructure? No Offer Description Contexte et atouts du poste The main goal of this PhD project is to develope a deep learning framework for the design of cyclic peptides. This project
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emergence and evolution, and edge/fog computing. MIMOVE works on these topics through many national and international collaborations with academia and industry, including large-scale software development
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for simulating and predicting tissue evolution from a single whole slide image. As mentioned earlier, a WSI should suffice to transform computational pathology from a static paradigm to a dynamic one. By
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return to a normal life through innovative remote monitoring solutions. One of the objectives of the I-DEAL project is to develop a home-based system for early detection of CD flares, that enable timely
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. Supervised learning is one of the main branches in Artificial Intelligence (AI). Training a model requires an ensemble of data to train on. Each data item is associated with a label, which is the best
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organizational features? Recent developments in network science have provided fresh insights into the structure and dynamics of the brain organization from a system perspective [ 1 , 2 ]. By modeling brains as
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predict fMRI activity using EEG signals. EEG electrodes detection: The localization of EEG electrodes in the 3D MRI volume is key information for optimizing neurofeedback protocols and developing more
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the development of models that enable robots to autonomously execute these activities and generalize across different environments. The goal of the position is to bridge this gap by learning robotic policies
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complexity in practice might provide fewer benefits as it could be expected from analytical derivations. The reason is the overhead caused by specific hardware we use to train or execute neural networks
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complexity and large number of parameters. Tensors are a natural way to represent high dimensional data for numerous applications in computational science and data science [1]. CP, Tucker and Tensor Train are