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wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
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to carry out high-quality research on the modelling of power system balancing process for future sector-coupled European energy systems. The task will include assessment of reserve requirements and
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date for this position is flexible, with a preference for September 2025, allowing the successful applicant to integrate smoothly into our academic calendar and commence their research activities
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humans. The activities form the basis for the research-based public sector consultancy and degree programs covering bachelor's, master's and PhD degree programs within animal science and veterinary
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models
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the project will be the development of physics enhanced data driven methods to achieve reliable prediction of residual usable life of milling tools. The approach will be validated by application to industrial
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dioxide, and you may read more about our activities at https://corc.au.dk/ . Here, we seek a motivated and qualified PhD student to join CORC’s satellite at DTU. The successful candidate will become part of
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current and future challenges towards reducing the role of humans in the decision process and the need for direct human interventions in the wind power plant operations and maintenance activities
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selection process Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU
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September 15, 2025, at 11.59 PM / 23.59 (CET/CEST) Assessment and selection process Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will