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Field
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structural health monitoring of structures immersed in heavy fluids, by continuing to develop the “Modal Strain Energy” and “Matched Field Processing” methods for detecting and locating a potential defect in
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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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system automation. Investigate and improve human-machine interaction frameworks for construction operations, including robotics, sensor-based communication, and real-time monitoring. Publish research
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sustainable forest management under climate change. Tree structural traits, including crown shape, branching patterns, and competition effects, strongly determine individual tree vitality, stand dynamics, and
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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sustainable forest management under climate change. Tree structural traits, including crown shape, branching patterns, and competition effects, strongly determine individual tree vitality, stand dynamics, and
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frequency domain reflectometry (OFDR), and other technologies relevant to nuclear reactor structural health monitoring and maintenance. The candidate will be expected to install, configure, analyze, and
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for real-time battery health monitoring and fault detection. Collaborate with embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource
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The School of Health and Welfare is one of four schools within Jönköping University and one of the leading institutions in the country for academic studies in health, nursing and social work. We
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at laborers working in harsh environments such as construction sites in this region. By providing continuous dehydration monitoring, the proposed sensor will significantly reduce risks of dehydration and