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spectrum sensing methods. To contrast network-side planned radio coverage with the actual experience of the end-users and build anomaly detection approaches, traffic and user patterns forecast, answer what
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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for the detection and analysis of vulnerabilities and privacy harmful behaviours in IoT products, including side-channels arising from misuse and abuse of network protocols. The candidate will develop and apply
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. The research will involve both empirical and methodological contributions: Developing automated frameworks to detect and analyze cross-platform data flows using network measurements, static and dynamic app
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. More than 30 research groups study regulatory networks controlling fundamental traits such as reproductive development, organ geometry and growth, innate immunity and microbiome effects on plant performance
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Infrastructure? No Offer Description Develop machine learning models to detect early signs of abrupt shift towards clean energy technologies and make climate action adaptive to this information. Job description
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millions of images of wildlife worldwide, offering unprecedented insights into ecosystems. However, analysing these datasets is a major challenge: AI systems excel at detecting common species but often fail
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(locomotor activity, ultrasonic vocalizations) and molecular profiling (qRT-PCR, NGS). An integrative bioinformatics approach will be used to identify molecular networks involved in addiction-related processes
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Develop machine learning models to detect early signs of abrupt shift towards clean energy technologies and make climate action adaptive to this information. Job description Positive tipping points