16 machine-learning-and-image-processing PhD positions at University of Amsterdam (UvA) in Netherlands
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supervision signals (e.g., labels in a downstream task or symbolic constraints). You will perform machine learning research, developing a framework for learning interpretable and robust concepts with
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: Experience with crystallization processes, soft matter physics, or porous media Familiarity with imaging techniques (optical/electron microscopy, X-ray tomography, or spectroscopy) Experience with cultural
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methods for evaluating intelligence in people are not suitable for AI and vice versa due to inherent differences in learning, memory, and processing between these systems. This project develops
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of memory circuits and the specific role of the sleep-wake cycle in accelerating this decay. The project combines cutting-edge techniques such as in vivo and ex vivo electrophysiology, live-imaging of calcium
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will validate. You will derive model parameters from experimental imaging and use inverse modeling techniques to measure microthrombi deformation under flow. Hybrid Research: You will study wall
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, mathematicians, computer scientists, linguists, musicologists, and cognitive scientists, who share a fascination with the interdisciplinary study of information. This is what you will do Neural approaches
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emotions Process data and conduct a range of advanced statistical analyses (including computational methods to analyse high-dimensional behavioural and physiological data) Write high-quality scientific
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of (translational) neuroscience and applied physics and biomechanics, contributing to a project with major implications for health prevention in groups at high-risk of TBI, such as athletes and military personnel
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to a quantum computer. Given the near-term deployment of quantum computing technologies, the time to deploy post-quantum secure cryptography is now. Further, in a world with quantum computers, one can
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our Teaching and Learning Centre; A complete educational program for PhD students; Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different