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for robust semantic alignment and interoperability across distributed ecosystems. The SecondPass project addresses these challenges by advancing machine learning (ML)-based and data-intensive methods
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language theory and semantic technologies, aiming to develop systematic techniques for handling protected data. The planned topic aims to develop methods that can be integrated within a digital twin
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with semantic technologies (e.g., OWL, RDF, SPARQL), knowledge graphs, and data transformation pipelines. Experience with — or strong interest in — applied AI research, particularly in combining
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this timeframe, due to missing annual progress reports and/or serious deficiencies in progress or duty-related work.For admission requirements and regulations, see our web page Proficiency in Norwegian or another
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duties. For admission requirements and regulations, please see our web page . Proficiency in Norwegian or another Scandinavian language is considered an advantage. The thesis may be written in English or
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web page . Candidates who already have a PhD degree will not be considered for the position. Qualified applicants will be ranked according to the following criteria: Theme and perspectives from
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scripts available via TSD, and 3) containerizing, deploying and running software provided by EBRAINS and by users Developing web-based user interfaces and automated processing steps Contributing to user
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in cyber-physical systems are susceptible to breaches of security, safety, and liveness guarantees. To this end, a rigorous mapping of selected semantics found in manufacturing automation protocols as
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web page For the position, good English skills are required, both written and oral. For non-native speakers, proficiency in oral and written English is essential, documented by either the Norwegian
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this deadline, due to lack of annual reporting of progress and/or serious failure in progress and in duty work. For admission requirements and regulations, see our web page . Candidates are subject to Nord