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platforms, security analysis, adversarial AI attacks and defences, intrusion detection, load management in mobile edge networks, or denial-of-service detection are considered as a merit. Earlier experience in
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. A successful candidate should have very good knowledge in quantitative methodology and related analysis tools, in particular very good knowledge in analysis with registry or survey data from various
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conferences and journals, with experience in one or more of the following areas: mathematical analysis of AI models in terms of correctness of outcomes, neuro-symbolic reasoning in cybersecurity, efficient
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Physicochemical and spectroscopic characterization of substrate performance, including sensitivity, reproducibility, stability, and matrix effects Quantitative analysis of spectroscopic data using multivariate
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of educational history, digital humanities and sociological analysis. You are expected to be actively present in the research environment, develop research networks and contribute to a vibrant intellectual climate