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binders that engage with therapeutic targets or efficient (bio)catalysts for synthetic applications. By seamlessly merging cutting-edge directed evolution, next-generation sequencing, and deep learning
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internally, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team. While interest in
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simulations with deep learning neural networks and swarm robots, virtual reality experiments, animal communication research, and more. In a range of projects, we show that languages can effectively be seen as
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deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and develop new methods and concepts. You have excellent verbal and written communication
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Organisation Job description Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio
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that can be used for training machine learning and deep learning models. You will work in tight collaboration with other researchers in Nijmegen, Delft and at the Hubrecht Institute (van Oudenaarden group
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Matlab/Python/LabVIEW, with an added advantage of specific experience in popular deep learning frameworks like PyTorch and TensorFlow. Demonstrated capability in independent research, exemplified by
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advantage of specific experience in popular deep learning frameworks like PyTorch and TensorFlow. Demonstrated capability in independent research, exemplified by exceptional performance in the MSc thesis
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health behaviour. Using a novel combination of deep learning, street view imagery, and epidemiological methods, we aim to identify the most effective urban exposure modifications. This research will
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-based infrared sources is emerging as a promising and effective tool. In particular, the newly developed high-power intrapulse difference frequency generation (IDFG) based sources extend deep into the mid