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About the Role UKRI-funded Project STARLITE (super-miniature ultra-sensitive force sensors for small innovative spacecraft, next-gen aircraft and cutting-edge biotech applications) is an ambitious
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Applications are invited for an employed Doctoral Candidate to be funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition
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on https://www.heliabiomonitoring.com/publications . The research group integrates laboratory-based and computational approaches for advancing sensor technology and bioengineering. Research is done in close
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - CENTRO RICERCA SISTEMI ELETTRONICI INGEGN.INF. E TELECOM."ERCOLE DE CASTRO" | Italy | 3 days ago
) of the european railway network. Such a programmer will be a component of an experimental unmanned vehicle developed by RFI. The Key performance indicators to be addressed by the candidate with his/her skill and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 hours ago
of academic excellence in 2018. Job Summary The Ocean Tracking Network (OTN, http://oceantrackingnetwork.org/) is a international marine and freshwater monitoring platform that focuses on tracking the movements
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the full benefit from the network training Further details on Marie Skłodowska-Curie Early Stage Researcher eligibility criteria can be found on the following link (https://ec.europa.eu/info/funding-enders
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competition on Sensors for Health (www.sensus.org ) and the international symposium on Continuous Real-time Biomolecular Sensing (https://sensus.org/symposium ). Where to apply Website https
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tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless communications
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unsecured environments, making it vulnerable to external tampering. As external perturbations affect a propagating optical signal, the global fiber network turns into a large sensor, capable of detecting
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collaboration with leading academic and industrial partners, access to state-of-the-art robot platforms, full-scale industrial sites, multi-sensor labs, and advanced network testbeds. The teams are highly