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-type specific samples, state-of-the-art molecular biology techniques, multimodal data generation and integration, gene regulatory network reconstruction and wide range of machine learning approaches
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Mathematics: Statistics Position You will work actively on the preparation and defence of a PhD thesis in statistics and data science. Possible topics are causal machine learning, causal inference, robust
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and defense of a PhD thesis on the topic of medical image analysis using machine/deep learning. Profile You have a Master's degree in Computer Science, Engineering, or Mathematics (or related) or you
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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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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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data analyses, Machine Learning (using Python), and/or listening tests is considered a bonus. What we offer We offer a doctoral scholarship for a period of two years. Following a positive evaluation, the
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in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. Prior expertise in renewable energy (solar and wind energy) is an
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neuroscience), and computer science (data analysis, machine learning, and artificial intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You will focus on the acquisition
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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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/or R), large-scale surveys (using Qualtrics), big data analyses, Machine Learning (using Python), and/or listening tests is considered a bonus. What we offer We offer a doctoral scholarship for a