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of existing buildings. The position is part of BUILD’s ongoing research on developing and operationalising methods that allow renovation, transformation, and continued use of the existing building stock to be
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grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first
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); contributes to SDC’s master programmes through teaching and guest lectures (Digital Innovation, research methods, computational methods, and case material from the candidate’s own fieldwork); contributes
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fibrillation. Your work will involve applying Mendelian randomization and other causal inference methods to uncover potential genetic pathways contributing to disparities in stroke risk. The project combines
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seek a PhD candidate to work on representation learning methods on graphs for modeling static and temporal networks, with applications to ecological systems and beyond. The project will focus
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community at Aalborg University Business School, with access to seminars, methods training and opportunities for international collaboration. How to apply Your application must include the following
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to advance non-destructive, rapid, and highly sensitive hyperspectral methods for the detection, identification, and characterization of forensic traces, including fire debris, biological stains, fibres
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challenges and should employ appropriate qualitative and/or quantitative methods. The project should demonstrate clear potential to generate internationally recognised research, produce publications in leading
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manipulated. Building lightweight, efficient models that can run in real time on constrained hardware. Implementing and evaluating the methods on embedded platforms and hardware prototypes, in collaboration
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Sensor Integration for High-Speed USVs This PhD project focuses on the development and validation of propulsion, control and sensor-integration methods for high-speed unmanned surface vehicles. The overall