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are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. The position is in the Digital Signal
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. The candidate must have comprehensive knowledge of contemporary neural machine learning techniques and architectures in NLP, both in terms of theoretical understanding and practical experience, including fine
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induced pluripotent stem cells (iPSCs). The successful candidate will be instrumental in dissecting disease mechanisms across various relevant neural cell types, such as motor neurons, astrocytes, and
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neuroscience, physics and computational science. CINPLA addresses fundamental questions related to learning and neural network dynamics in the healthy and diseased brain and in artificial intelligence systems
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techniques, including at least basic experience with deep neural networks Documented good programming and data manipulation skills Completed M.Sc. level degree corresponding to a minimum of four years in
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learning applications involving images using Python, C++, OpenCV, Matlab and other related frameworks. Experience with state-of-the-art AI systems such as deep learning and convolutional neural networks