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7 Nov 2025 Job Information Organisation/Company University of Trás-os-Montes and Alto Douro Department Research Support Office Research Field Engineering » Other Researcher Profile First Stage
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7 Nov 2025 Job Information Organisation/Company University of Trás-os-Montes and Alto Douro Department Research Support Office Research Field Engineering » Other Researcher Profile First Stage
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, optimization, and calibration of sensors for use at the agricultural farm level. Collaborate in the acquisition, processing, and analysis of Big Data. Assist researchers in the development and testing
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until June 30, 2026, with a planned start date in January 2026. 2. WORK PLAN AND WORKPLACE: - Laboratorial characterization of soil and biomass samples from field trials of project; - Dissemination
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precisly hireachirecal structural design and fabrication; investigation of the mechanical and functional performance of bioinspired composites through experiments and numerical simulations; and exploring
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specialisms such as Big Data analytics, virtual healthcare, Internet of Medical Things (IoMT), cybersecurity, and artificial intelligence. Students get the chance to work on real-world projects with industry
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optimized integration of applications (including commercial software capable of cluster operation (MATLAB, ANSYS)) d) support for users (students, teachers and researchers) in accessing and using
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | about 1 month ago
or related fields. Work plan The selected fellow will join the project as a researcher and perform the following tasks under the scientific guidance and supervision of the project’s Principal Investigators: a
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nationals or nationals of other EU Member States b) Nationals of third countries c) Stateless persons d) Beneficiaries of political refugee status When the work plan takes place, in whole or in part, in
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | about 1 month ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will