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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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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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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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focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and healthy tissues using both US images and histopathology; Integrate multimodal data: Align
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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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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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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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Your job Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a
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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