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to quality, integrity, creativity, and cooperation. You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. Prior expertise
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processing 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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processing 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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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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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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learning approaches The host labs will provide financial support for the whole length of the PhD. The applicant will be expected to actively seek independent funding and will be fully assisted in applying