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Eligibility Scholarships are awarded based on academic excellence. BI scholarships are not awarded based on financial need. Candidates with highest IB grades are competitive for this scholarship
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who are keen and experienced working on industry problems /across sectors. Focus areas for applied AI include domains such as: o Advanced Manufacturing & Semiconductors o Urban Systems o AI-Augmented
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& Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare Advanced Manufacturing & Semiconductors, Urban Systems, AI
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large language models served at scale, retrieval-augmented generation (RAG) pipelines, a Model Context Protocol (MCP) server framework, sandboxed execution, and multi-agent orchestration—and will
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ontology alignment Develop multi-agent or RAG -style (retrieval-augmented generation) workflows for schema matching and terminology mapping Collaborate with national and multi-institutional
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ontology alignment Develop multi-agent or RAG -style (retrieval-augmented generation) workflows for schema matching and terminology mapping Collaborate with national and multi-institutional
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considered. Applicants with international education will have their grades converted to the ECTS scale by BI Norwegian Business School. Candidates must be admitted to a Master of Science degree programme
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international education will have their grades converted to the ECTS scale by BI Norwegian Business School. Applicants who apply to and receive an offer of admission to the Master in Finance degree at BI
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considered. Applicants with international education will have their grades converted to the ECTS scale by BI Norwegian Business School. Candidates must be admitted to a Master of Science degree programme
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must have a minimum overall GPA of 4.0 on the ECTS scale to be considered. Applicants with international education will have their grades converted to the ECTS scale by BI Norwegian Business School