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programme Reference Number AE2026-0286 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0286
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - CENTRO RICERCA SISTEMI ELETTRONICI INGEGN.INF. E TELECOM."ERCOLE DE CASTRO" | Italy | 28 days ago
competence are: • Real time performance based on LP-firmware combination • system safety to be achieved through in-process diagnostics, redundant architectures, fusion of sensors like encoders and
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the Company partner can be found at: https://pilgrimseurope.com/ . Please note that Queen’s reserves the right to close the advert early once 80 applications have been received. About the person
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able to manage and compare hyperspectral signatures acquired by hyperspectral sensors mounted on drones of asbestos-cement roofs with a reference hyperspectral library, constructed from analyses
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Research Infrastructure? No Offer Description Este contrato es parte del proyecto Machine learning optimization of heat pump architectures based on wireless power transfer sensors with high gain antennas
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| Crop, Soil and Environmental Sciences Department's Website: https://crop-soil-environmental-sciences.uark.edu/ Summary of Job Duties: As part of a cluster hire in multi-omics integration and data
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-dimensional variational (4D-Var) modeling with research involving sensors and autonomous vehicles. The work will address autonomy and path planning; use Observing System Simulation Experiments (OSSEs
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of these sensors. - Access to the laboratory's experimental characterization facilities. - A collaborative and multidisciplinary environment at the interface of theory, modeling, and experimentation. Scientific
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characterization of the wireless link (power + sensing) - Design and optimization of sensor-resonator coupling - Participation in in vitro and ex vivo testing We are seeking highly motivated researchers to join our
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. Work will include designing and implementing mixed-method studies with human participants; collecting person-level sensor/simulator and field data; analyzing repeated-measures and multimodal behavioral