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of Orthopaedics is seeking a full-time Postdoctoral Research Fellow to investigate innovative techniques for sports monitoring using advanced wearable sensors and analytical methods. The ideal candidate holds a PhD
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from sensors or other continuous data sources. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 4 days ago
+RL) would be beneficial. Based on ocean sensor networks’ inputs, the developed DSSs will support the monitoring, prediction, environmental impacts and technical engineering management of ocean industry
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-balance model and hydropower optimization The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no
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earthquakes and tsunami. The RSES team will work in tandem with a team of physicists from the University's Centre for Gravitational Astrophysics working on the development of advanced sensors for low-frequency
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to improve asset management. However, a key challenge in implementing predictive maintenance is the presence of data uncertainty arising from sensor noise, missing data, fluctuating operating conditions, and
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challenges involved in integration of quantum sensors into complex systems. They will also join a thriving quantum technology research base at the University of Birmingham. The University has been active in
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, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal
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, particularly Python Familiarity with Graph Neural Networks (GNNs). Experience with sensor calibration, fusion techniques, and real-time motion analysis preferred. Ability to work collaboratively in