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Field
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experimental setups to predict Loss of Containment (LOC) in critical components of hazardous equipment (e.g. nozzles, elbows, flanges). Conduct axial/bending tests to identify leakage thresholds and formulate
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Probabilistic Resilience Anal-ysis (PRA) based on component networks and recovery models, and validating the method through case studies and a dedicated software tool. Duties and Responsibilities Develop a novel
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publications in journals with impact factor in the field of data science / artificial intelligence (0,5 points per item up to maximum of 6 points - the score of the individual publications will be doubled
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with impact factor in the field of data science / artificial intelligence (0,5 points per item up to a maximum of 12 points - the score of the individual publications will be doubled if the candidate
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well as to attract external funds, take an active part in the SISSA PhD teaching programme, and supervise graduate students (selected on a competitive basis and funded by bursaries provided by SISSA). SISSA welcomes
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being part of a young sociable office, be motivated to exceed your targets and want to be part of the schools continuing success story. Responsibilities Make initial contact via phone and email with
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. The PhD student will be part of a European training network and is expected to collaborate closely at UNISS-DSBM. PhD candidate will also have the chance to conduct research visits at leading institutes
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additional benefits. The positions come with no teaching duties. English is the official language of the program. As part of the first year of the doctoral program, students are invited to attend a selection