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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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hardware-software stack — from signal acquisition and real-time processing to edge AI model deployment and system integration. Experience with implementing and optimizing machine learning models on resource
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-level insights. Your work will be essential to exploring large design spaces, predicting device behavior, and identify optimal parameters without the prohibitive cost of fabricating numerous physical
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community. This position offers the opportunity to shape and optimize an integrated workflow spanning automated crystallization imaging through to finalized structural datasets. Key Responsibilities The role
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behavior and over molding flow Implement in situ process monitoring and analyze real time sensor data Optimize processing parameters using modelling and data driven approaches Validate models through