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for Power Electronics System Integration and Materials. Research areas will be within transient stability analysis of power systems with large penetration of power converter-based resources. The overall tasks
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are in part funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC
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profile thatincludes geospatial applications and large-scale data integration and analysis. Has shownsuccessful track-record in securingthird party research funds. TeachingResponsibilities As an Associate
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learning methods that leverage the unique properties of SAR data. Develop a foundation model pre-trained on large Synthetic Aperture Radar (SAR) datasets. Demonstrate the practical utility of the foundation
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a focus on energy monitoring, occupant-centred building operation, large-scale data processing, and applied mathematics. Qualification requirements Applicants for a tenure track assistant
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challenges at the intersection of AI and cybersecurity, aiming to enhance model integrity, data privacy, and resilience to adversarial attacks. The research will explore methods to secure AI systems in real
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Assistant Professor in Environmental Microbiology and Viromics of Danish Peatlands (3 year position)
. This project will combine computational and experimental approaches, leveraging the large-scale Microflora Danica dataset combined with samples taken from sites undergoing restoration. You will help conduct