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qualifications Your overall focus will be to advance research at the intersection of streaming process mining, artificial intelligence, and cybersecurity, with the goal of developing real-time methods to detect
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, international team with flexible work organization and support of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and
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multidisciplinary, international, and friendly atmosphere, encouraging creativity, diversity, empathy, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers
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communities to cascading hazards, particularly NaTech (Natural Hazard Trig-gering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the
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Job Description Do you have a background in bioinformatics or AI/ML? Do you wish to do a PhD whereby you use your computational skills to discover new insights in industrially important bacteria
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energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in
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Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in the field of Energy Infrastructure, Maritime Economics, Ports
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research projects and environmental exchange as part of the PhD education. Opportunity to interact with a wider network of national and international collaborators. Opportunity to develop your own ideas
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months at the Technical University of Munich (Germany), gaining international research experience and expanding your collaborative network. As part of your research, you will: Design responsive-switchable
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, take a 4-6 month external research stay, and grow a network across academia, system operators, and industry. Context and motivation The green energy transition is increasingly digital: it relies