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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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research area. Prior experience working with Neural Radiance Fields or Gaussian Splatting. Prospective applicants should have a strong academic record with a solid background in Machine Learning (Deep
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multidisciplinary team working on revolutionary methods for needle-free injections! Hearing loss affects millions of people, but delivering medication deep into the inner ear remains a major challenge. Therefore
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strong academic record with a solid background in Machine Learning (Deep Learning, generative models, diffusion models). Knowledge in sensor data processing and radaris a plus. Good programming skills
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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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operation by nonspecialized personnel, and to allow automated interpretation. As a PhD student you will develop novel deep learning methods for identification of fetal growth abnormality from ultrasound
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) to thoroughly evaluate the security of post-quantum protected implementations against deep-learning-based side-channel analysis. We invite applications for a PhD position at the Computer Architecture
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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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recruiting a motivated PhD candidate with a deep interest in plant molecular biology, particularly in the interplay between light signalling, chloroplast biology and photosynthesis. Light photoreceptors