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highly motivated PhD student to develop advanced fracture models for predicting material degradation and failure in additively manufactured steel in nuclear reactor water environments. The project focuses
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highly motivated PhD student to develop advanced models for predicting the fatigue life of additively manufactured steel in nuclear reactor water environments. The project focuses on modeling corrosion
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science This Ph.D. project will develop fundamental theory and methods in distributed systems
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degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods
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student positions within two major research initiatives at KTH: SMART-6GSAT and 3D-NET. These projects aim to shape the next generation of wireless networks by developing energy-efficient, resilient, and
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documents, please provide a summary (abstract) and a web link to the full text. Other information For information about processing of personal data in the recruitment process. It may be the case that a
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. For longer documents, please provide a summary (abstract) and a web link to the full text. Other information For information about processing of personal data in the recruitment process. It may be the case
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spectroscopy with specialization in materials chemistry. This includes advanced use and method development, primarily in solid-state NMR, to study hard and/or soft materials, including colloids, but also high