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associated threats. The research project of the PhD student will thus focus on defining methods to track, monitor, and manage the use of GenAI. While this can rely on recentely proposed telemetry framework
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their choices, public authorities in their decisions and businesses in their strategies. To address the urgent societal need for science-based management recommendations for forests under increasing pressure, and
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and/or interest in the following relevant fields: artificial intelligence and cybersecurity. The candidate will have the opportunity to work on a collaborative project with a leading industry in
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in their decisions and businesses in their strategies. To address the urgent societal need for science-based management recommendations for forests under increasing pressure, and to leverage
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attracting 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
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research results and present them at international conferences Contribute to reports and research activities in support of project management Guide M.Sc. students Participate in a dedicated training plan For
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computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our
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relevant state-of-the-art technologies. S/He will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried out in
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application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial peptides Perform and support experimental studies across the METAMIC project
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generation, storage, electric vehicles, smart energy management systems, etc.) and how to design the right incentives for a welfare-maximizing e-mobility integration (e.g., tariffs, subsidies, nudges, etc