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, Bayesian modelling, machine learning, and deep learning. Research seminars. We organize weekly BIM research seminars (www.erim.eur.nl/research/events/research-seminars ) that bring leading scholars to share
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) to study how new (virtual) technologies may contribute to creating learning opportunities for tourists regarding human-created climate change. There will be a strong focus on developing deep working research
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of applied cryptography, deep learning methods that are immune to common side-channel defences, machine learning algorithms that can operate on encrypted data in the cloud, detection and mitigation of large
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of the science group and the wider collaborative research and impact environment at WUR. Your qualities The new chair of the Phytopathology group evidently should have a deep knowledge of phytopathology and a
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of the AI "black box"? Then come and join us as a PhD candidate to explore and innovate energy-efficient methods for machine learning training. Artificial Neural Networks (ANNs) are driving new applications
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to computational cardiology. In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust
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environmental impacts of our leisure; 2) explore new ways of interacting with vulnerable landscapes; and 3) to study how new (virtual) technologies may contribute to creating learning opportunities for tourists