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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 3 days ago
information from aerial and ground-level sensors. • Knowledge of the processes of extracting data from sensors and analyzing the results. Specific Requirements • High level of English. • Graduate in
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students, fishers, diving clubs, beach lifeguards. Assisting with the creation of a species spotting network based on citizen science. Writing texts for and preparing research projects. Communicating with
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of chemoreceptor (CR) genes and other sensor proteins in phytopathogenic bacteria. Biochemical charactherization of CRs and sensor proteins. Functional charactherizations of mutants in the context of plant
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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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, evolución e integración como servicio de simuladores de planificación de misión de drones, sensores de medidas antidron y simulación de infraestructuras críticas. Colaboración en el desarrollo de componentes
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27 Oct 2025 Job Information Organisation/Company IMDEA Networks Institute Department NETCOM Lab Research Field Engineering » Communication engineering Researcher Profile First Stage Researcher (R1
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27 Oct 2025 Job Information Organisation/Company IMDEA Networks Institute Department Cybersecurity Group / Internet Analytics Group Research Field Computer science » Other Engineering
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apple orchards. The research will leverage the use of mechanistic crop models, remote sensing, sensors and computer vision. Remote sensing imagery will be acquired from both unmanned aerial vehicles (UAVs
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, multisignal patches and wireless devices. Design and development of algorithms for multimodal biomedical signals based on Personalized Models, Deep Learning and Explainable AI. Applications to respiratory