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- Institute for bioengineering of Catalonia, IBEC
- UNIVERSIDAD POLITECNICA DE MADRID
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- Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM)
- Universitat Autònoma de Barcelona
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Field
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qualification/skills/experience: Ph.D. degree in wireless communications and related fields (20 points). Publication record: At least three IEEE journals as a first or corresponding author (20 points). Expertise
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drones equipped with high-resolution cameras and multispectral sensors” of the Department of Mathematics. Reference: I-PI 69-25 Pursuant to the provisions on the regulations governing calls
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 6 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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, 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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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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, 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
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of agentic AI systems, agile accelerated computing and next-generation Radio Access Networks (5G/6G), and who have the ability to lead innovative projects and shape new research directions. The successful