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PyTorch, along with a solid understanding of modern neural network architectures and techniques. You are experienced in conducting independent research and highly motivated to develop methodologies
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research questions. This postdoctoral scholarship offers the opportunity to be a part of this AI revolution by developing novel neural network architectures specifically optimized for plant genomic data. Our
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-simons-group Duties The postdoctoral fellow will perform studies on spinal cord regeneration with special focus on establishment and re-organization of neural networks and neurogenesis during regeneration
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. Machine learning: experience with algorithms such as nearest-neighbor, simplex projection, recurrent neural networks, singular value decomposition and/or autoencoders; experience in frameworks like
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learning problems involving a-priori known symmetries. A simple example are convolutional neural networks, that are known to be invariant towards translations. Using representation theory, one can build
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conditions and in various disease states. Research projects include a broad range of studies on the molecular and cellular levels, networks of neurons, and the organization of the nervous system as a whole