211 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" PhD positions in Netherlands
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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and
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description This project addresses the effective design of a military supply logistics network, composed of transportation and communication links such as roads and rail, aerial drone routes, and nodes, such as
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from reactive to proactive. The goal is to increase transparency and trust in the DNS namespace. Key research activities will include applying machine learning and graph-based techniques to uncover
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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of Technology Mathias Peirlinck creates 'digital twins' of the human heart: personalised computer models that map the functioning of each unique human heart. This work paves the way for the development of more
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become better versions of themselves. At BMS we do this through academic education, fundamental science and societal problem-solving. From Bachelor’s or Master’s degrees and Professional Learning
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their learning and develop reading comprehension skills? Are you eager to combine learning sciences research with classroom innovation? Then this PhD position may be of interest to you. Job description The Erasmus
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Liefvoort. For questions about this particular research project, please contact Cécile de Morrée. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about
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now Do you want to shrink the gap between artificial and biological intelligence? In this research assistantship you will work on the development of state-of-the-art machine learning approaches
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute