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such as malicious advertising, digital skimming and stealthy online tracking. By leveraging recent advances in machine learning and browser automation, the project aims to provide tools, techniques and
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quantitative modeling; Strong expertise in programming, including proficiency in languages commonly used in data analysis and machine learning, such as Python; Excellent verbal and written communication skills
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expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
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, materials science, or computer science with an interest in complex materials for computing and learning. Excellent candidates with training in any area of science or engineering will be considered. PhD
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in team work and collaborations with other PhD candidates, both in the group and internationally. You have a genuine multidisciplinary interest in the intersection of machine learning and neuroscience
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opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools
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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
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results in this field in high-tech domains such as semiconductor machines, together with a highly innovative industrial partner in the Brainport region? Then, this PhD position is made for you! Information
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scans and use advanced data-driven methods, including artificial intelligence (AI) and machine learning to improve outcome prediction and patient stratification. deepen our understanding of the etiology
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like to learn more about what it is like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Does this sound like you? You hold a Master’s degree in neuroscience