43 machine-learning-phd scholarships at Delft University of Technology in Netherlands
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Markov decision process, after which some combination of logic reasoning, discrete optimization and machine learning results in a seemless execution in which the robot stays withing the bounderies set by
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world modeling, machine learning, probabilistic reasoning and logic reasoning. Solid mathematics foundations, especially statistics, linear algebra and discrete mathematics (graphs, logic); Team player
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Ledger Technology, Federated Learning, and AI. Affinity with programming, computer networks, and multi-actor systems. Interest or experience with research collaboration with other researchers and external
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the content we engage with, the products we purchase, and our social interactions. These systems, driven by machine learning, support a wide range of human decision-making processes across e-commerce, social
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, machine learning, signal processing) or an experimental background (software-defined radios, RF engineering), you build upon your strengths within the the 6thSense MSCA Doctoral School. Working across
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, machine learning, signal processing) or an experimental background (software-defined radios, RF engineering), you build upon your strengths within the the 6thSense MSCA Doctoral School. Working across
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? Then we are excited to get in touch with you. We are looking for a motivated candidate to work on the topics of theoretical machine learning, specifically in the domain of sequential decision-making
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into account adequately in models. Therefore, we will work with traditional parameterizations for cloud microphysics, but also explore how physics-enhanced machine learning can help us to develop new ways
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that the manual process is very time-consuming and error-prone. To help drive efficiency, computer vision is crucial, yet so far the focus has been on single-camera data analysis. As a PhD at TU Delft you will
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networks to reduce the impact of network failures or epidemics; prevent viral epidemics in human population. Epidemic processes widely apply to biological and computer network viruses, to cascading failures