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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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the following traits: Educational background: A master’s degree in computer science/artificial intelligence with a solid grounding in optical and spectroscopic instrumentation, such as hyperspectral, NIR, and
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information, see www.universiteitleiden.nl/en/science and https://www.universiteitleiden.nl/en/working-at . The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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. Where you will be working This position is available at the Institute for Computing and Information Sciences (iCIS) at Radboud University as part of the NOLAI project. NOLAI , the National Education Lab
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. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental
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(EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use
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of the Open Competition Domain Science-M programme (Twenty-one innovative research projects awarded through Open Competition Domain Science-M programme | NWO - https://www.nwo.nl/en/news/twenty-one-innovative
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of Science means bringing together inspiring people across disciplines and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information