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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
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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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to interview already during the application period. The positions will be filled as soon as suitable candidates are identified. For additional information, contact Prof. Anton Zasedatelev, anton.zasedatelev
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, driven by future applications and services for 6G and beyond. Networks are also evolving to support a large variety of signals across larger access and metro network areas. For these novel scenarios
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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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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | about 2 months ago
in its history. The institute is engaged in basic research in the field of catalysis. The department Powder Diffraction and Surface Spectroscopy headed by Prof. Dr. Claudia Weidenthaler invites
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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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around three core domains: Toxicology, Environmental Epidemiology, and Veterinary Public Health. More information For more information, please contact dr. Chris Thio at c.h.l.thio@uu.nl and prof. Roel
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(Health and Society Group) and Prof. Arjan Stegeman (Faculty of Veterinary Medicine, Utrecht University). Your qualities A completed (or about to be completed) MSc degree in data science, computer
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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