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of applying the concept of deep learning. By training a convolutional neural network, in which detailed image simulations are used as an input, we expect to be able to reliably locate even the lightest atomic
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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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routines in Python, Matlab, or C++. Hands-on experience with an MRI scanner, experience with multi-modal quantitative MRI (e.g. diffusion + relaxometry), and experience with deep learning are considered a
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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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-modal quantitative MRI (e.g. diffusion + relaxometry), and experience with deep learning are considered a bonus. Your research qualities are in line with the faculty and university research policies . You