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://kdvi.uva.nl/research/discrete-mathematics-and-quantum-information/discrete-mathematics-and-quantum-information.html#Academic-Staff Silke Henkes -- https://www.universiteitleiden.nl/en/science/physics/biological
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refueling infrastructure.UGent-MMS is partner in a large new research project with several leading companies in the automotive industry. This research project aims at developing composite solutions for future
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. Anne Loeber, VU University. You will be institutionally embedded in the Knowledge, Technology and Innovation (KTI) chair group led by Prof. Anita Hardon at Wageningen University. We offer you Wageningen
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requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport
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population projections and management of wild bird populations in times of climate change”, with the Seychelles warbler (Acrocephalus sechellensis) as a model system. The project is supervised by Prof. Hannah
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: Prof Alex Dickson Further information: The successful applicant will join the Energy and Environment research cluster in the Department of Economics in Strathclyde Business School, and will be part of a
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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-free stipend only (set by the UKVI, £20,780 for 2025/26). Killer waves or extreme waves are large (> 20 meters tall) and unpredictable surface waves that can be extremely dangerous to ships and other
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify