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of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial
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faculty and university research policies . You act with attention to quality, integrity, creativity, and cooperation. You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow
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microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You
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Programme? HE Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD research aims to develop deep learning-based methods for bias correction of climate model
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. Position You will work actively on the preparation and defence of a PhD thesis focusing on the analysis of extreme events using deep learning methods. Your responsibilities will include developing deep
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heterogeneous datasets. You explore machine learning methods to analyse time-to-event data. You will be involved in the bioinformatic analysis of RNA sequencing data of samples from a Belgian prospective study in
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-driven modelling of MRI images based on machine learning and artificial intelligence for improved quantification of tissue properties, in particular tissue microstructure. You will acquire and manage
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in the field of dynamics of climate extreme events. Position You will work actively on the preparation and defence of a PhD thesis focusing on the analysis of extreme events using deep learning methods
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Internet experts, we develop technologies that outperform current solutions for communication subsystems, high-speed and low-power networks, distributed computing and multimedia editing, machine learning
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technologies that outperform current solutions for communication subsystems, high-speed and low-power networks, distributed computing and multimedia editing, machine learning, artificial intelligence, and web