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modeling of complex information systems, and SDU and the Royal Danish Defence College’s established intelligence studies and practice. By introducing computational modeling to traditional intelligence
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to relevant external sources. By enabling data interoperability across facilities and process units, this infrastructure will allow real-time coordination, intelligent scheduling, resource sharing, and improved
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possible in the field of energy storage. We invite applications for a fully funded PhD position in Thermal Energy Storage (TES), Industrial Energy Systems, and Artificial Intelligence at the Thermal Energy
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with other educational institutions, municipalities, and industries. The degrees offered by the department include BSc, MSc, and PhD degrees in computer science, a BSc in artificial intelligence, and an
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intelligence (AI) to optimize large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. Key research areas include: Enhancing Selection Decisions: How can we make
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organising and conducting their own research project (under supervision). The programme culminates in the submission of a PhD thesis, which the student must defend in public. The programme is prescribed to 180
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be