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Apply now The Faculty of Science and Leiden Institute of Advanced Computer Science (LIACS) are looking for candidates for a: PhD in Deep learning for Electron Microscopy pipelines (1.0 fte) As a PhD
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work on enhancing the predictive and decision-making components of trading systems by leveraging deep learning, time-series modelling, and high-dimensional feature extraction. The project consists
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working time. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Profile You should hold or are about to obtain a
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communities and the challenges of energy congestion and decentralisation of the energy supply and demand. Your teaching load may be up to 10% of your working time. Would you like to learn more about what it’s
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on developing new ML approaches to challenging quantum problems, with a strong focus on making these approaches interpretable, reliable, and scalable. In this position, you will learn about state-of-the-art deep
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, fisheries, aquaculture or the deep sea. The PhD project will focus on how to govern these new models of representation – in other words how to design the ‘rooms’ and which dynamics of the rooms make decisions
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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for Sustainable Energy, researchers from academia and industry develop, implement and evaluate new deep reinforcement learning methodology to solve sustainable energy challenges. Key responsibilities The lab is
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of the processing system online. Our approach will be to draw on a broad selection of tools including (deep) reinforcement learning, queuing networks, online algorithms and systems engineering. In addition, a large
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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 focus on