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pathomics dedicated to personalized medicine. This innovative and rich approach stems from the explanatory integration of deep learning in computational histopathology as well as spatial transcriptomics
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. To make deep learning algorithms efficient in real life it is important to combine software and hardware optimization when creating new deep learning algorithms. During the PhD we plan to propose novel
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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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cluster computer system to realize big-data analysis and simulations. Mission confiée Context of the project Artificial Intelligence (AI) and especially Deep Learning (DL) have undergone many successes in
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, particularly linguistic features derived through sentiment analysis, while simultaneously annotating the dataset with pertinent medical information. Thirdly, the utilization deep learning methodologies, such as
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: Methods and Promises. Biological Psychiatry 88, 11 (Dec. 2020), 818-828. [9] Pinte, C., Fleury, M., Maurel, P. Deep learning-based localization of EEG electrodes within MRI acquisitions. Frontiers in