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collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a PhD degree in human-computer interaction, computer
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quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
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funded by a Novo Nordisk Foundation Exploratory Interdisciplinary Synergy grant. The project aims to develop new antibiotic compounds that evade both current and likely future resistance mechanisms
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation
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for this postdoctoral should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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work-related safety and health performance in heavy equipment operations compared to current best practices the general construction sector performs. Responsibilities and tasks The overall objective
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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and biomedical data processing, including knowledge of organ physiology and biology—particularly of the colon. Required expertise includes organ segmentation methods (both traditional and machine
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the project would be that of providing extra expertise in coding theory to the team, complementing the current competences of the members of the algebra group at DTU and supporting the current research