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acoustic sensors. Integrating the models into a Model-Based Systems Engineering (MBSE) framework to ensure reusability and scalability. To achieve this, you will work with high-fidelity simulation tools
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pipelines to centralize dispersed information. The work involves IoT ingestion via streaming, creating real-time flows to capture sensor readings with low latency, and external batch ingestion or via API
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to Search Postdoctoral Research Associate, School of Mining Engineering and Mineral Resources Posting Number req24974 Department Sch Mining Engr Mineral Res Department Website Link https://mining.arizona.edu
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on signal acquisition and development of algorithms for wearables and radiofrequency contactless sensors. The contract will be within the framework of the “Advanced Unintrusive Remote health Assessment” (AURA
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the profession. Strong written and verbal communication skills are required. Applicants should visit http://engineering.tamu.edu/mechanical to review our academic and research programs. The J. Mike Walker ’66
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research program, participate in all aspects of the department’s activities, and serve the profession. Strong written and verbal communication skills are required. Applicants should visit http
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
to support growth in sectors such as healthcare, telecommunications, advanced manufacturing, and sensor networks. The position is available at Tyndall National Institute in Cork. Project Description
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. Willingness to work early mornings, evenings, weekends, or holidays as needed. Preferred: Experience with environmental monitoring equipment (e.g., HOBO sensors, iButtons, Kestrel meters). Familiarity with GIS
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. Willingness to work early mornings, evenings, weekends, or holidays as needed. Preferred: Experience with environmental monitoring equipment (e.g., HOBO sensors, iButtons, Kestrel meters). Familiarity with GIS
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– Integrating Behaviour, Health and Biodiversity in Animal Science”. The ‘Digital Biology’ programme focuses on developing and applying digital technologies (AI, sensors, modelling, data fusion) to better